{"id":"W2036255158","doi":"10.1139/l10-097","title":"Analysis and design for the resilience of shear connections","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Structural engineering; Resilience (materials science); Connection (principal bundle); Shear (geology); Parametric statistics; Girder; Beam (structure); Engineering; Computer science; Mathematics; Geology; Materials science","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":[0.0007202612,0.001173726,0.0004414911,0.001621588,0.0004758899,0.0006089813,0.0007994133,0.0005378956,0.00425855],"category_scores_gemma":[0.002788626,0.0004207348,0.0005787869,0.0003806164,0.0009165918,0.001053837,0.0008312664,0.0005478961,0.0005927306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006056143,"about_ca_system_score_gemma":0.0006633163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158527,"about_ca_topic_score_gemma":0.001168256,"domain_scores_codex":[0.9995638,0.00009902198,0.00001948838,0.00006757802,0.0002039977,0.00004607585],"domain_scores_gemma":[0.9992433,0.0003492754,0.0001465174,0.00007459174,0.0001544034,0.00003196076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007815193,0.0000137109,0.001326641,0.0001974707,0.00002577816,0.0001628216,0.0001169516,0.8638546,0.03970286,0.0454839,0.0005094678,0.04852774],"study_design_scores_gemma":[0.000007544271,0.0000958416,0.0005077387,0.00003858012,0.00002558457,0.0001139663,0.00004612013,0.9712019,0.01332314,0.01179355,0.002830281,0.00001568218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03354747,0.0001264234,0.9630197,0.00005829878,0.00001094733,0.00004158614,0.00005566783,0.0002493377,0.002890638],"genre_scores_gemma":[0.8125763,0.0003875297,0.1838593,0.00003048024,0.00002702515,0.0002047181,0.0001161549,0.0001580645,0.002640347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00425855,"threshold_uncertainty_score":0.01424623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007605142998229787,"score_gpt":0.1894322515139475,"score_spread":0.1818271085157177,"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."}}