{"id":"W1988576634","doi":"10.1139/l10-045","title":"Numerical studies on the structural behaviour of composite end-plate connections","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finite element method; Structural engineering; Parametric statistics; Composite number; Connection (principal bundle); Nonlinear system; Shear (geology); Engineering; Computer science; Materials science; Mathematics; Composite material; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005565804,0.0004958953,0.000514241,0.0006860734,0.0004807534,0.000338839,0.0007881236,0.001079477,0.002333171],"category_scores_gemma":[0.002181845,0.0002965553,0.0003678426,0.000645572,0.0007826922,0.0004832968,0.0003572527,0.0004013272,0.0002970171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224497,"about_ca_system_score_gemma":0.0003502237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002180434,"about_ca_topic_score_gemma":0.002226836,"domain_scores_codex":[0.9998135,0.0000427295,0.00001130417,0.00002186916,0.00008295299,0.00002764086],"domain_scores_gemma":[0.998677,0.000763634,0.0001437274,0.0001266615,0.0002263822,0.00006264812],"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":[0.00006206385,0.00004896646,0.001929291,0.00008551303,0.000009318581,0.0001743621,0.0001134881,0.9745504,0.01547956,0.002510322,0.0002173119,0.00481955],"study_design_scores_gemma":[0.000006800914,0.00004582038,0.0005527923,0.000008836384,0.000003996763,0.00004727416,0.00002735645,0.9963449,0.00235559,0.0003028226,0.0002975441,0.000006338926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.852721,0.0005146112,0.1260012,0.0002112131,0.00005438377,0.00009089528,0.0002926917,0.0003883821,0.01972564],"genre_scores_gemma":[0.9680748,0.0001780034,0.0296841,0.00001631104,0.000008096788,0.00005115972,0.00009335889,0.00002509183,0.001869043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002333171,"threshold_uncertainty_score":0.007805228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041555390282674,"score_gpt":0.212554706809079,"score_spread":0.2021391529062523,"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."}}