{"id":"W3200478406","doi":"10.1139/cjce-2021-0125","title":"A fibre-based modelling technique for the seismic analysis of steel–concrete composite shear walls","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Structural engineering; Shear wall; Composite number; Ductility (Earth science); Nonlinear system; Shear (geology); Materials science; Deformation (meteorology); Modular design; Computer science; Engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003149721,0.0001966725,0.0005448188,0.0008407328,0.00007125003,0.00006494656,0.0003016507,0.00009718905,0.00006917915],"category_scores_gemma":[0.00007365802,0.0001787961,0.0005513706,0.001200506,0.0000268796,0.00009818697,0.000008376071,0.0003130002,4.496515e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255063,"about_ca_system_score_gemma":0.0002756256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006906835,"about_ca_topic_score_gemma":0.00431458,"domain_scores_codex":[0.9987816,0.00001887178,0.0005365305,0.0001248223,0.000184739,0.0003534941],"domain_scores_gemma":[0.998708,0.0003039697,0.0001128528,0.0003042341,0.0002807964,0.0002902148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003135469,4.238215e-7,0.0001049914,0.00008281726,0.001445072,0.0000350077,0.0001272706,0.9325083,0.06553535,0.00003672088,0.00005480154,0.00006614997],"study_design_scores_gemma":[0.0001671359,0.00001609613,0.0003347471,0.000140851,0.001205479,0.00003806786,0.00003691309,0.9095675,0.08752732,0.00001738816,0.0007808255,0.000167721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07948463,0.002784815,0.9170392,0.000128767,0.0002393388,0.0001197546,0.00007030777,0.00003300281,0.0001002422],"genre_scores_gemma":[0.990249,0.00002881867,0.009529781,0.00002694156,0.0000821877,0.000008124645,0.00001053207,0.00004690963,0.00001765976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9107644,"threshold_uncertainty_score":0.7291092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008932152778769877,"score_gpt":0.1864645521882882,"score_spread":0.1775323994095183,"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."}}