For researcher and sponsor outreach, use specific, evidence-based traction and tailored research hooks; avoid sending correction-focused follow-ups after a controller decision to move on, and clean CRM plus unsent drafts consistently when that decision is made.
When root knowledge files are write-protected, stage validated updates in an explicitly named scratch/pending file and preserve provenance-backed observations plus a passing validator result for later promotion.
MLIP failure mode benchmark can be connected to tooling such as XtalPaint inpainting and AiiDA provenance tracking for enhanced analysis and mitigation.
External engagement metrics (comments, reactions, downloads) are crucial for success; without them, repeating the same conveyor pipeline is discouraged unless a fundamentally different approach is taken.
Outreach can be enhanced by referencing specific research quests or discovery efforts as onboarding hooks to align with a researcher's expertise.
Orb v3 preserves F-43m symmetry for inverse Heusler Li₂YZ compounds; structurally fragile prototypes (Cu₂Sb-type, GPSK) suffer P1 collapse with large volume expansion, so ICSD-anchored unrelaxed CIFs may be preferable for these.
Personalized outreach is most effective when referencing 1-2 recent publications and linking to a curated summary (e.g., Three superconductivity results).
For highly imbalanced datasets (e.g., superconductivity), PR curves are more informative than ROC; compound-level counting is essential to avoid masking true positives in family analyses.
ML property prediction benchmarks: Curie temperature is most tractable (NEMAD R²=0.92), formation energy shows systematic bias (ALIGNN overestimates ~0.45-1.6 eV/atom, falsely flagging stable magnets), and moment predictions (e.g., CHGNet for Mn₂Sb) require DFT validation.
Schema/column mismatches (e.g., missing auto_skipped in quest items API) can block automated workflows and need pre-validation.
Tiered claim-ranking helps prioritize validation where convex-hull cross-checks are highest-value.
The published-content conveyor is stale: 12+ recent quests produced essentially zero external engagement across 60+ resolved items, so it should be rethought with Matt before committing another cycle; live researcher conversations should remain tracked as CRM follow-ups rather than new quest items.
TiO2 Rietveld phase-fraction calibration has six provenance-backed observations; the 39-day relative-crystalline fractions are 13% rutile, 62% brookite, and 25% anatase, with a passing check_oxide.py validator. The pending ideas update is staged at scratch/ideas_update_pending.md because root ideas.md writes are disallowed.
Co3O4 spinel exhibits cross-architectural symmetry collapse under MLIP relaxation (Orb v3, CHGNet, MACE-MP) MLIP Failure Mode Benchmark Dataset.
FeB₄ exhibits Pnnm→Cm degradation under relaxation; U₂Fe₂Sn is the first actinide compound in the cross-domain ML audit.
Cross-domain ML failure audit audit spans 13+ cycles, 180+ routes, 13 domains as of 2026-W28.
TiMn₂ is the sole hexagonal outlier (Mode 2) in symmetry survival tests; c/a=1.60 perturbation CIF exists
Outbound quests should be wind-down after reaching ~73 items; new outreach organized outside the large quest framework.
Specific structural failures: Cu₂Sb-type (Mn₂Sb, MnAlGe, MgMnGe) collapses under Orb v3 asset; GPSK FePt L₁₀ collapses asset.
ALIGNN systematic overestimate (~2.0 eV/atom on three anchors) confirmed asset.
3DSC dataset: 1.29M compounds, 1.875% superconducting (Tc>5K). BEE-NET analysis: near-optimal 5K threshold (F1), recall 51.1% post; 33 masked families hide 314 compounds comment.
Priorities: Cu₂Sb screening (Apollo for gates, Hermes for ML) comment; focus shifted to permanent magnets with plan asset.
MAB phases (Mn, Fe, Cr M₂AlB₂) are stable (E_hull=0.0). SmCo₅ survives Orb v3 relaxation.