{"id":"W2959584677","doi":"10.1007/s10704-019-00361-1","title":"The third Sandia fracture challenge: predictions of ductile fracture in additively manufactured metal","year":2019,"lang":"en","type":"article","venue":"International Journal of Fracture","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Natural Resources Canada","funders":"Air Force Office of Scientific Research; Southwest Research Institute","keywords":"Electron backscatter diffraction; Fractography; Fracture (geology); Materials science; Calibration; Digital image correlation; Fracture toughness; Deformation (meteorology); Surface finish; Surface roughness; Structural engineering; Geometry; Forensic engineering; Composite material; Engineering; Microstructure; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003709131,0.0002310938,0.0003560541,0.000347995,0.00004113311,0.00005585548,0.0006600372,0.0002643793,0.0006485523],"category_scores_gemma":[0.0001687949,0.0001562766,0.0002539339,0.0001296367,0.00005027692,0.0005657443,0.00003490003,0.001068134,0.00001652737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561065,"about_ca_system_score_gemma":0.00006022451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001585027,"about_ca_topic_score_gemma":0.00001662704,"domain_scores_codex":[0.9980525,0.00005362233,0.0007543858,0.0001358468,0.0008087416,0.0001949277],"domain_scores_gemma":[0.9984092,0.0003715855,0.0004971325,0.0002270757,0.000424461,0.00007060596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000882782,0.0004961904,0.004892256,0.0001507479,0.003162415,0.0001807393,0.00572433,0.8621298,0.007201967,0.002505241,0.09606998,0.01660354],"study_design_scores_gemma":[0.001651938,0.0002744573,0.06185256,0.0003766821,0.00009043441,0.0002110823,0.0004466044,0.004193094,0.07484682,0.01313996,0.8424971,0.000419303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93072,0.008132081,0.02485142,0.01148983,0.009656408,0.001204027,0.000339856,0.0003490272,0.01325732],"genre_scores_gemma":[0.9977781,0.0005196815,0.0005922525,0.0003080786,0.0005233728,0.000005775946,0.00002717545,0.00003387289,0.0002116488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8579367,"threshold_uncertainty_score":0.7101192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006158533501290362,"score_gpt":0.2512974140043731,"score_spread":0.2451388805030827,"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."}}