{"id":"W4416600516","doi":"10.1149/ma2025-02341702mtgabs","title":"<i>(Invited)</i> Computational Insights into Polycrystalline Materials Used for Fuel Cells and Batteries","year":2025,"lang":"","type":"article","venue":"ECS Meeting Abstracts","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Crystallite; Grain boundary; Fuel cells; Work (physics); Dopant; Amorphous solid; Computational model; Context (archaeology); Granularity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005994705,0.000796251,0.0006459093,0.0004356698,0.0008183662,0.00164677,0.001071021,0.001323174,0.03866178],"category_scores_gemma":[0.001316706,0.000278683,0.0007354576,0.0005105462,0.0005278194,0.00174374,0.001162355,0.002481693,0.01809976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007775553,"about_ca_system_score_gemma":0.0006412929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457691,"about_ca_topic_score_gemma":0.00267209,"domain_scores_codex":[0.9996665,0.00005118105,0.00001265919,0.00006450318,0.0001387514,0.00006651165],"domain_scores_gemma":[0.9994745,0.0001364257,0.00002436341,0.00003122219,0.0002242797,0.0001093796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001166881,0.00002146157,0.0002365737,0.0005155802,0.00002552996,0.00008636106,0.00005366936,0.001927494,0.003226653,0.01057804,0.9542377,0.02897426],"study_design_scores_gemma":[0.00003752808,0.00003958674,0.0004857715,0.0001574184,0.00002503839,0.0001054173,0.00008608814,0.004980207,0.003360441,0.01009649,0.9805928,0.00003309666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0213399,0.1560492,0.05685703,0.1758568,0.269743,0.0003269883,0.01158731,0.003504592,0.3047354],"genre_scores_gemma":[0.1374741,0.1538837,0.03724664,0.03878259,0.08727288,0.0009419865,0.021044,0.004711447,0.5186427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03866178,"threshold_uncertainty_score":0.1293365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102904739665326,"score_gpt":0.2637620740418908,"score_spread":0.2534716000753582,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}