{"id":"W2766739778","doi":"10.1115/pvp2017-66235","title":"Analysis of Tension and Bending Response to Characterize Elastic-Plastic Material Behavior","year":2017,"lang":"en","type":"article","venue":"","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Bending; Materials science; Ductility (Earth science); Structural engineering; Tension (geology); Stress (linguistics); Ultimate tensile strength; Composite material; Work (physics); Failure mode and effects analysis; Material properties; Creep; Engineering; Mechanical engineering","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":[0.0004977607,0.0008258436,0.0003924466,0.002317406,0.0002828611,0.0002469728,0.0004154247,0.0006193382,0.008643895],"category_scores_gemma":[0.000606747,0.000212576,0.0003066486,0.001070821,0.0002045504,0.0004301046,0.0002193969,0.0005028906,0.001758979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144135,"about_ca_system_score_gemma":0.0001857282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109944,"about_ca_topic_score_gemma":0.00270274,"domain_scores_codex":[0.9996957,0.00002756319,0.00001925076,0.00004588114,0.0001672582,0.00004435965],"domain_scores_gemma":[0.9993615,0.0002305142,0.0000904323,0.00004734665,0.0002291709,0.00004099935],"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":[0.0001488083,0.00009706274,0.00389019,0.0001752558,0.00001779138,0.000135568,0.0000921791,0.002571556,0.9669229,0.0001081602,0.0002088653,0.0256318],"study_design_scores_gemma":[0.00001765735,0.001331365,0.2060871,0.00005346514,0.0000870454,0.001017439,0.0004651382,0.0816156,0.7023091,0.0005292211,0.006376336,0.0001105063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819593,0.001960968,0.09943375,0.0001228456,0.00008999883,0.0002361267,0.001788261,0.001464724,0.01294409],"genre_scores_gemma":[0.978498,0.000578723,0.0128123,0.00008698642,0.00002532106,0.0001378561,0.0008583569,0.0001205058,0.006881861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008643895,"threshold_uncertainty_score":0.02891672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043367684372638,"score_gpt":0.2589974597146207,"score_spread":0.2385637828708943,"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."}}