{"id":"W2800143658","doi":"10.1139/tcsme-2017-1003","title":"MECHANICAL CHARACTERIZATION OF NOTCHED HOT ROLLED MULTI-PHASE STEEL","year":2017,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Flanging; Materials science; Finite element method; Ultimate tensile strength; Enhanced Data Rates for GSM Evolution; Deformation (meteorology); Microstructure; Digital image correlation; Stress (linguistics); Structural engineering; Composite material; Metallurgy; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002144039,0.0002243655,0.0002096603,0.000397759,0.0002282043,0.0001600971,0.0003563586,0.0003613652,0.001203331],"category_scores_gemma":[0.0003498078,0.0001317505,0.0001228046,0.0001989472,0.0003294962,0.0001846324,0.0001025132,0.000144712,0.0001650028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282571,"about_ca_system_score_gemma":0.0001115607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011296,"about_ca_topic_score_gemma":0.002788105,"domain_scores_codex":[0.9997612,0.00001704015,0.00001468753,0.00003949027,0.0001478825,0.00001978297],"domain_scores_gemma":[0.9995953,0.00007433391,0.00008212869,0.00007122043,0.000148884,0.0000282158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004672772,0.00001132034,0.0008700191,0.00003498343,0.000002336014,0.00006841589,0.00004344724,0.0005637167,0.9964637,0.00002381403,0.00001590263,0.001855612],"study_design_scores_gemma":[0.0000164805,0.0009404444,0.09104066,0.000009333149,0.00001310892,0.000274805,0.0002181019,0.01099332,0.8953073,0.00003553601,0.001131013,0.00001986215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965315,0.000101849,0.002661169,0.00001000771,0.000005003832,0.00001720498,0.0001354648,0.0000458315,0.0004919777],"genre_scores_gemma":[0.9959251,0.00005283706,0.003250038,0.000007441905,0.000002389507,0.000009637138,0.0001343742,0.000008265153,0.0006098976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001203331,"threshold_uncertainty_score":0.004025519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725569888998052,"score_gpt":0.2351888215519052,"score_spread":0.2179331226619247,"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."}}