{"id":"W4394618047","doi":"10.4271/2024-01-2858","title":"Design and Evaluation of an in-Plane Shear Test for Fracture Characterization of High Ductility Metals","year":2024,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ductility (Earth science); Materials science; Shear (geology); Characterization (materials science); Structural engineering; Fracture (geology); Composite material; Engineering; Nanotechnology; Creep","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":[0.002145242,0.0004084797,0.0007419366,0.0003428007,0.00005887884,0.00004712656,0.0003007988,0.0005623294,0.0001665626],"category_scores_gemma":[0.0008219716,0.0003658684,0.0001418704,0.0005901089,0.0002914249,0.0007165067,0.00005872084,0.0004601594,0.000003171228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001661271,"about_ca_system_score_gemma":0.00006326042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001848897,"about_ca_topic_score_gemma":0.001130102,"domain_scores_codex":[0.9971851,0.000161207,0.001041367,0.0005940224,0.0006882421,0.0003300362],"domain_scores_gemma":[0.9981389,0.0007750059,0.0001360575,0.0006571568,0.0001790121,0.0001138719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001131912,0.000135526,0.00002669076,0.0003407229,0.0000328692,0.000002112724,0.00003845724,0.0007955086,0.986179,0.002744354,0.0000572971,0.009534258],"study_design_scores_gemma":[0.0005015573,0.001115162,0.9277492,0.000373381,0.0001996127,0.00002107554,0.00001508956,0.0001307881,0.05394389,0.01380893,0.001725891,0.0004154556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945447,0.0003569719,0.00020708,0.000355141,0.0001502409,0.002187066,0.0001423186,0.00159543,0.0004610486],"genre_scores_gemma":[0.9867743,0.0001548323,0.01226122,0.00007658947,0.000051387,0.0003723095,0.0002010948,0.00009032774,0.00001797022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9322351,"threshold_uncertainty_score":0.9998793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268379540516964,"score_gpt":0.2853825215084866,"score_spread":0.262698726103317,"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."}}