{"id":"W2969450192","doi":"","title":"Qualitative aspects of ductile fracture by strain localization","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Strain (injury); Fracture (geology); Computer science; Materials science; Composite material; Anatomy; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003157753,0.0003168441,0.0004311102,0.0001723115,0.0001767929,0.0001817958,0.0009119744,0.0003922177,0.0001748779],"category_scores_gemma":[0.001436767,0.0003549602,0.0001570985,0.0001430084,0.0002032469,0.0001999907,0.0003273594,0.0005505739,0.00001273128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123307,"about_ca_system_score_gemma":0.00009822626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004372736,"about_ca_topic_score_gemma":0.0001825813,"domain_scores_codex":[0.9966478,0.001747665,0.0005656947,0.0004147436,0.0004013858,0.0002226923],"domain_scores_gemma":[0.995569,0.0006799555,0.0005680968,0.00180091,0.001280743,0.0001012849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003076114,0.001105145,0.0004116213,0.004175959,0.0009006062,0.000008240458,0.1995567,0.02562524,0.05944294,0.5594367,0.04600246,0.1033036],"study_design_scores_gemma":[0.0004465754,7.857637e-7,0.0002897047,0.002687969,0.00007744395,0.000003013622,0.0004399853,0.09996089,0.7311789,0.1291269,0.03493867,0.0008491606],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02841135,0.00154075,0.8827757,0.001189218,0.0002809721,0.0006461451,0.0004921452,0.0008674566,0.08379625],"genre_scores_gemma":[0.9770668,0.0003027971,0.01908707,0.00002249312,0.00001767938,0.00004375562,0.0013463,0.00007231266,0.00204081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9486554,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940559972153608,"score_gpt":0.287706670759458,"score_spread":0.2683010710379219,"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."}}