{"id":"W4234692379","doi":"10.32920/ryerson.14651502.v1","title":"Investigation of Load Distribution Factors for Simply-Supported Composite Multiple Box Girder Bridges","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Girder; Box girder; Finite element method; Bending moment; Deflection (physics); Engineering; Structural load; Parametric statistics; Influence line; Shear force; Shear (geology); Mathematics; Materials science; Composite material","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":[0.0000986053,0.0003144682,0.0004120596,0.00005978909,0.00004788036,0.00004738911,0.0001456288,0.0003407671,0.00001224504],"category_scores_gemma":[0.0001167967,0.0003356083,0.0001926801,0.0001027242,0.00003192745,0.00007446084,0.0001233152,0.0002772178,0.000001013597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229491,"about_ca_system_score_gemma":0.00008376208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002228942,"about_ca_topic_score_gemma":0.00008868153,"domain_scores_codex":[0.9988401,0.00001243985,0.0004350107,0.0002751044,0.0001974248,0.0002399153],"domain_scores_gemma":[0.9990824,0.0001470526,0.00008351001,0.0003509693,0.0002360984,0.0000999632],"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":[0.000005413601,0.00001188487,0.0125758,0.001187226,0.0001590973,9.605843e-7,0.0004701542,0.9646401,0.01981306,0.00005471643,0.0008698933,0.0002116904],"study_design_scores_gemma":[0.0002865554,0.00001482298,0.03404227,0.0001446945,0.00006625146,0.000001219594,0.0001070084,0.8800284,0.08451124,0.00006683548,0.0003554032,0.0003752696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5773863,0.00009134655,0.4204537,0.0000203562,0.0005251761,0.0002409542,0.0008841665,0.0003603065,0.00003768871],"genre_scores_gemma":[0.9806629,0.00006204849,0.005916492,0.000007157133,0.00006039811,0.00004480864,0.01310908,0.00006097387,0.00007608184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4145372,"threshold_uncertainty_score":0.9999096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652036567156604,"score_gpt":0.2173690291599146,"score_spread":0.2008486634883486,"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."}}