{"id":"W2000114919","doi":"10.1016/j.engstruct.2012.08.016","title":"Analytical modeling and axial load design of a novel FRP-encased steel–concrete composite column for various slenderness ratios","year":2012,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Fibre-reinforced plastic; Composite number; Buckling; Ductility (Earth science); Materials science; Structural engineering; Column (typography); Compressive strength; Tube (container); Composite material; Composite construction; Parametric statistics; Dissipation; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00009700767,0.0003828386,0.0002877418,0.0003282452,0.0004220997,0.0004846174,0.000941909,0.0006176393,0.003442569],"category_scores_gemma":[0.0001531321,0.0003089077,0.0003738086,0.0001970157,0.000325367,0.0002849319,0.0001980914,0.0002310181,0.0005237627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006380565,"about_ca_system_score_gemma":0.000940609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009059343,"about_ca_topic_score_gemma":0.0141185,"domain_scores_codex":[0.9999382,0.000007546212,0.000001181637,0.000010517,0.00002803255,0.00001451646],"domain_scores_gemma":[0.9999052,0.0000242421,0.00001792064,0.000006844843,0.00003459932,0.00001119979],"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":[0.00008691945,0.00007456192,0.0005577551,0.00007002547,0.00001246689,0.0001482513,0.00007311042,0.8901898,0.094715,0.002315193,0.0005048857,0.01125202],"study_design_scores_gemma":[0.000003625295,0.00002974561,0.0001953262,0.000001822805,0.000004669017,0.000008785779,0.00001548944,0.9940931,0.005245501,0.0000760365,0.0003220007,0.000003817851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7183697,0.0001560256,0.247628,0.0002247245,0.00003720069,0.00009200195,0.0002706207,0.0006926902,0.03252917],"genre_scores_gemma":[0.9776534,0.00006551533,0.01566634,0.00001932663,0.000006415633,0.00004356166,0.00006581235,0.00004861077,0.006431034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009059343,"threshold_uncertainty_score":0.01801324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290600940514407,"score_gpt":0.2381008001999589,"score_spread":0.2151947907948148,"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."}}