{"id":"W4380077842","doi":"10.6089/jscm.48.96","title":"Prediction of Off-Axis Nonlinear Material Behavior for Unidirectional CFRTP Using Numerical Material Tests","year":2022,"lang":"en","type":"article","venue":"Journal of the Japan Society for Composite Materials","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Deformation (meteorology); Anisotropy; Materials science; Constitutive equation; Uniaxial tension; Nonlinear system; Composite material; Shear (geology); Material properties; Ultimate tensile strength; Structural engineering; Physics; Finite element method; Engineering; Optics","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":[0.0003916244,0.0004310439,0.0001393242,0.0004371035,0.0001611678,0.0001803233,0.0002564662,0.0003468217,0.0009061287],"category_scores_gemma":[0.001254137,0.0001242327,0.0001969359,0.0001724523,0.0003430983,0.0002673721,0.0002076266,0.0001559288,0.0001737857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161923,"about_ca_system_score_gemma":0.0003151565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309527,"about_ca_topic_score_gemma":0.002173688,"domain_scores_codex":[0.9998118,0.00002767874,0.00001008739,0.00002807713,0.0001044907,0.00001779133],"domain_scores_gemma":[0.9995465,0.0001823528,0.0001044369,0.0000563135,0.00009533072,0.00001519307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002424399,0.0001240603,0.01511609,0.0001849467,0.000009932244,0.0002820536,0.0001850144,0.3458002,0.5965222,0.001860068,0.0002169735,0.0394561],"study_design_scores_gemma":[0.000004958862,0.0001335269,0.005592503,0.000008493736,0.000004438075,0.00006961785,0.00004009596,0.9138397,0.07966401,0.0001896424,0.0004428293,0.00001016785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9239931,0.00008719504,0.07204275,0.00003875686,0.00001661975,0.00003153171,0.00007821287,0.000148957,0.003562907],"genre_scores_gemma":[0.9875963,0.00004919824,0.01167253,0.000004328465,0.000001316031,0.00002169039,0.00004385349,0.00001030321,0.0006004942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001309527,"threshold_uncertainty_score":0.003031313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041824053018421,"score_gpt":0.2453813115194663,"score_spread":0.2249630709892821,"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."}}