{"id":"W2750346909","doi":"10.1016/j.jcsr.2017.08.010","title":"Behaviour of shear tab connections in column removal scenario","year":2017,"lang":"en","type":"article","venue":"Journal of Constructional Steel Research","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Marquette University","keywords":"Structural engineering; Shear (geology); Finite element method; Connection (principal bundle); Shear wall; Engineering; Progressive collapse; Column (typography); Reinforced concrete; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001505974,0.0001197043,0.0003344675,0.000687067,0.0002693324,0.00008221392,0.0005477417,0.0001358013,0.0003156203],"category_scores_gemma":[0.001207493,0.0001156311,0.0001341372,0.0002509986,0.0006458908,0.0004011776,0.00009214506,0.001063825,0.00001077789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004320229,"about_ca_system_score_gemma":0.0005034355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001973033,"about_ca_topic_score_gemma":0.0001532288,"domain_scores_codex":[0.9976379,0.000138481,0.0006534577,0.0001238719,0.00109078,0.000355473],"domain_scores_gemma":[0.9980259,0.0004513605,0.0002118824,0.0003236696,0.0008298604,0.000157356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00381892,0.0003834148,0.5463868,0.0004952836,0.001020713,0.002783832,0.001275724,0.04866998,0.2160561,0.0481539,0.01286107,0.1180942],"study_design_scores_gemma":[0.002623464,0.0002732061,0.9665133,0.0003080181,0.00002443579,0.006615859,0.0006541705,0.006827616,0.004637779,0.004035848,0.007239675,0.0002466763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942322,0.0002782223,0.00008334958,0.0003866306,0.001029652,0.0001318688,0.00002154787,0.0000116833,0.00382485],"genre_scores_gemma":[0.996567,0.0001443281,0.002488058,0.000003078624,0.0002962762,0.000002342294,8.639418e-7,0.00002046577,0.0004776649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4201264,"threshold_uncertainty_score":0.4715298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04871801219246991,"score_gpt":0.3537603379514057,"score_spread":0.3050423257589358,"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."}}