{"id":"W2043606781","doi":"10.1139/l05-054","title":"Characterization equations for steel column base connections","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Rigidity (electromagnetism); Column (typography); Finite element method; Structural engineering; Base (topology); Characterization (materials science); Moment (physics); Rotation (mathematics); Connection (principal bundle); Mathematics; Engineering; Geometry; Mathematical analysis; Materials science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0004318632,0.0006790804,0.0003263094,0.001875419,0.0003661882,0.0006455493,0.0007601471,0.0005747793,0.005484143],"category_scores_gemma":[0.001886966,0.0002482919,0.0005604717,0.0006483034,0.0004052045,0.001035279,0.0003550148,0.0005928989,0.001471096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006538346,"about_ca_system_score_gemma":0.0004913393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609238,"about_ca_topic_score_gemma":0.00245157,"domain_scores_codex":[0.9995996,0.00005063671,0.0000280144,0.00006115034,0.0002194611,0.00004106978],"domain_scores_gemma":[0.9992734,0.0002505463,0.0001096866,0.00004297332,0.0003087144,0.00001465887],"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":[0.0000782268,0.0001075234,0.00540701,0.0003460182,0.00002379702,0.0004790531,0.0009780608,0.3428706,0.1755496,0.1899486,0.004828513,0.279383],"study_design_scores_gemma":[0.00001217108,0.0001186501,0.002654058,0.00004974575,0.00002396306,0.0006674783,0.0002427187,0.8999825,0.03691147,0.0320793,0.02721763,0.00004042512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04722226,0.0002540043,0.9419285,0.00005819528,0.00001925062,0.0001060158,0.0001937088,0.0002678196,0.009950188],"genre_scores_gemma":[0.7462525,0.000933097,0.2334001,0.0000659146,0.00003951402,0.0003827894,0.0007561676,0.0003429642,0.017827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005484143,"threshold_uncertainty_score":0.01834625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00766331817798731,"score_gpt":0.17290586424472,"score_spread":0.1652425460667327,"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."}}