{"id":"W3209486445","doi":"10.1103/physrevx.11.041019","title":"Interplay of Rearrangements, Strain, and Local Structure during Avalanche Propagation","year":2021,"lang":"en","type":"article","venue":"Physical Review X","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; Materials Research Science and Engineering Center, Harvard University; University of Pennsylvania; Simons Foundation; National Science Foundation","keywords":"Strain (injury); Materials science; Physics; Statistical physics; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000313924,0.0002177208,0.0003371875,0.0006343881,0.0003986578,0.0009874753,0.0004252661,0.0003934255,0.001119911],"category_scores_gemma":[0.002094283,0.0003065624,0.0001611538,0.0003576971,0.0008581276,0.001194009,0.0005120253,0.0004535922,0.0001378645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005629618,"about_ca_system_score_gemma":0.0002309297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267102,"about_ca_topic_score_gemma":0.001415522,"domain_scores_codex":[0.9999025,0.00001452871,0.000006285803,0.00003047861,0.00002170072,0.00002448422],"domain_scores_gemma":[0.9992399,0.0003168574,0.0001964179,0.0000664879,0.000059161,0.0001210795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004820056,0.0002358304,0.06521634,0.0002610912,0.0001221455,0.001585104,0.0009537311,0.6945991,0.1484205,0.04224631,0.001339062,0.04453878],"study_design_scores_gemma":[0.00001523636,0.00008831311,0.03388146,0.00001640635,0.00001702922,0.0002320562,0.0001839449,0.9401082,0.009622502,0.0152183,0.0005694557,0.00004710896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823668,0.0002219674,0.01580029,0.0001440191,0.000009410078,0.000007890222,0.00006685627,0.000114024,0.0012688],"genre_scores_gemma":[0.9987342,0.00005335071,0.0009155076,0.000009736821,0.000004153668,0.000004787567,0.00003014522,0.00001079591,0.0002372329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001267102,"threshold_uncertainty_score":0.004084647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007580031685150118,"score_gpt":0.2996745277035753,"score_spread":0.2920944960184252,"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."}}