{"id":"W2100993361","doi":"10.1061/(asce)0733-9445(2005)131:4(569)","title":"Equivalent Uniform Moment Diagram Factor for Composite Columns in Major Axis Bending","year":2005,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Curvature; Bending moment; Shear and moment diagram; Moment (physics); Structural engineering; Diagram; Composite number; Square (algebra); Bending; Neutral axis; Row; Mathematics; Geometry; Materials science; Mathematical analysis; Engineering; Physics; Composite material; Bending stiffness; Computer science; Classical mechanics; Statistics; Beam (structure)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001375758,0.0002994754,0.0005151146,0.0005185818,0.00005182095,0.0001122005,0.0002935641,0.00009997747,0.00005713323],"category_scores_gemma":[0.00004037814,0.0002741636,0.0002757531,0.0003231555,0.00001458368,0.0005863826,0.0000389978,0.0004180954,0.00000191576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000783177,"about_ca_system_score_gemma":0.00001435433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000152094,"about_ca_topic_score_gemma":0.00002147481,"domain_scores_codex":[0.9982386,0.000007675566,0.0007862289,0.000147086,0.0003239828,0.0004963962],"domain_scores_gemma":[0.9993368,0.00009256378,0.0001465754,0.000156506,0.00008360874,0.0001839462],"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":[0.00002135367,0.000003994588,0.001376785,0.0001326105,0.0002146192,0.00001206174,0.0003279014,0.8455916,0.1407249,0.0001477578,0.0000219808,0.01142442],"study_design_scores_gemma":[0.00189325,0.000137483,0.07246057,0.0002596779,0.0001265648,0.0001992759,0.00008469942,0.8124731,0.1100077,0.00008780206,0.001616843,0.0006530348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876263,0.0006984804,0.01049554,0.00009466272,0.000743784,0.0001795674,0.0000340827,0.00009425244,0.00003332128],"genre_scores_gemma":[0.9767557,0.00004217881,0.02260681,0.000009624619,0.0004877109,0.000006460377,0.000004859644,0.00005380387,0.00003278614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07108378,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009399936161275805,"score_gpt":0.2310797534732433,"score_spread":0.2216798173119675,"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."}}