{"id":"W3127114576","doi":"10.1039/d0mh00980f","title":"The energy landscape governs ductility in disordered materials","year":2021,"lang":"en","type":"article","venue":"Materials Horizons","topic":"Nanoporous metals and alloys","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"National Key Research and Development Program of China; Wuhan University; National Natural Science Foundation of China","keywords":"Materials science; Ductility (Earth science); Energy landscape; Energy (signal processing); Nanotechnology; Composite material; Physics; Creep; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001139407,0.0002759731,0.0005137081,0.00003677926,0.0003416936,0.0006434243,0.0004548788,0.0001281218,0.005503884],"category_scores_gemma":[0.0002705639,0.0001964073,0.00006690314,0.0002471349,0.000127913,0.0001940049,0.0003121287,0.00005983786,0.0002641314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005045494,"about_ca_system_score_gemma":0.0001486031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008895239,"about_ca_topic_score_gemma":0.001311256,"domain_scores_codex":[0.9970958,0.0005999741,0.0007198159,0.0005621193,0.000353594,0.0006687118],"domain_scores_gemma":[0.9986739,0.0001698196,0.0002041057,0.000766147,0.00009015945,0.0000959104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007432311,0.0001059526,0.0001003462,0.00001913715,0.000009483457,0.00005215897,0.00008194979,0.000002559834,0.9917914,0.00621309,0.001165881,0.0003836829],"study_design_scores_gemma":[0.0003433393,0.00004729722,0.002300609,0.00002402548,0.00001487066,0.00002459618,0.0002474071,0.000001029091,0.9714489,0.002867577,0.02243098,0.0002493761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99274,0.0005784642,0.00003953869,0.0007997641,0.003971914,0.0001457741,0.0004478024,0.00009887161,0.001177899],"genre_scores_gemma":[0.9968727,0.0004801367,0.0001995132,0.00008816976,0.0004248763,0.00008511464,0.00008808257,0.00003962802,0.001721754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0212651,"threshold_uncertainty_score":0.9954052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008203826927608435,"score_gpt":0.219079636090728,"score_spread":0.2108758091631196,"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."}}