{"id":"W1825370761","doi":"","title":"An Advanced Damage Percolation Model of Ductile Fracture","year":2016,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Void (composites); Coalescence (physics); Nucleation; Percolation (cognitive psychology); Composite material; Mechanics; Forensic engineering; Physics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003590252,0.0004486315,0.0005156882,0.0009124116,0.000463956,0.0005569647,0.001524306,0.001378358,0.002140897],"category_scores_gemma":[0.001090239,0.0003572949,0.0006983288,0.0005676592,0.000970057,0.0009937169,0.0007169159,0.0007458505,0.0002834109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008004764,"about_ca_system_score_gemma":0.0005673076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005002163,"about_ca_topic_score_gemma":0.003324034,"domain_scores_codex":[0.9997911,0.00003415165,0.00001030262,0.00004452474,0.00008692979,0.0000331508],"domain_scores_gemma":[0.999663,0.0001473413,0.00004570173,0.00003710535,0.0000717227,0.00003501905],"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":[0.00001215828,0.00001913025,0.0004212317,0.00002407796,0.0000110808,0.000157493,0.00005550751,0.9611616,0.004266404,0.02994878,0.0004284482,0.003494134],"study_design_scores_gemma":[0.000002268765,0.000005329131,0.0001629038,0.000002270752,0.000001786483,0.0000477782,0.000004433512,0.9929869,0.0002768451,0.006126628,0.0003776097,0.000005190186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1066815,0.0004211093,0.878557,0.0003167412,0.00007140702,0.0001200124,0.0004540878,0.0004191985,0.01295887],"genre_scores_gemma":[0.9274088,0.0004824158,0.06034009,0.0001044808,0.00004593374,0.0001832882,0.0002090039,0.0001287492,0.01109739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005002163,"threshold_uncertainty_score":0.009946108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617210555158864,"score_gpt":0.2518666642974151,"score_spread":0.2256945587458265,"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."}}