{"id":"W2021782183","doi":"10.1139/l02-086","title":"Load factor calibration for the proposed 2005 edition of the National Building Code of Canada: Companion-action load combinations","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Wind engineering; Structural load; Building code; Load factor; Dynamic load testing; Deflection (physics); Serviceability (structure); Engineering; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001618832,0.00009800779,0.0001939394,0.0001619994,0.0001712458,0.00004418166,0.0003664083,0.00005169832,0.00007756941],"category_scores_gemma":[0.006748593,0.00006270825,0.0001024843,0.0003590309,0.00005341785,0.0002096755,0.000006063705,0.0001588607,1.352999e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008398012,"about_ca_system_score_gemma":0.007146641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007156306,"about_ca_topic_score_gemma":0.4924976,"domain_scores_codex":[0.9980545,0.00004991697,0.0006165673,0.0000918022,0.0009941049,0.0001931108],"domain_scores_gemma":[0.9970171,0.000967658,0.0003919597,0.0001354085,0.001330047,0.0001578357],"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":[0.000004156655,0.00001068263,0.0002096335,0.00002229724,0.00003725978,4.840538e-7,0.0001438337,0.9644826,0.003287459,0.01666539,0.0150512,0.00008498051],"study_design_scores_gemma":[0.001789427,0.0001290564,0.02831255,0.000406281,0.0001028252,0.0001307281,0.0005341291,0.8177683,0.02071157,0.0115279,0.1181481,0.0004391475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009749455,0.0004120024,0.9853981,0.001106094,0.002593982,0.0003185687,0.0001674806,0.000005459885,0.0002489087],"genre_scores_gemma":[0.9987121,0.000003080875,0.001050143,0.00002413744,0.0001048941,0.000003495287,7.735754e-7,0.000009881912,0.00009149993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9889627,"threshold_uncertainty_score":0.9994552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06668229095776652,"score_gpt":0.275342846375863,"score_spread":0.2086605554180965,"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."}}