{"id":"W4252785690","doi":"10.32920/ryerson.14645394.v1","title":"Load Distribution in Precast Wide-Flange CPCI Girder Bridges","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Precast concrete; Girder; Structural engineering; Flange; Bridge (graph theory); Parametric statistics; Slab; Structural load; Engineering; Finite element method; Span (engineering); Closure (psychology); Load distribution; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00007582882,0.0002574331,0.0003231593,0.00008601126,0.00001621189,0.0001180398,0.0001372897,0.000249211,0.0004581075],"category_scores_gemma":[0.00005813504,0.000261089,0.000137422,0.0002235295,0.00001496224,0.00008058994,0.0001085572,0.0004504932,0.00002472455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003721938,"about_ca_system_score_gemma":0.00004238471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005140314,"about_ca_topic_score_gemma":0.000647576,"domain_scores_codex":[0.9989871,0.00001877287,0.000299052,0.0002819004,0.0001985844,0.0002145427],"domain_scores_gemma":[0.9994784,0.00003335963,0.00002653631,0.0003288262,0.0000669369,0.00006591962],"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":[0.000001449176,0.000006096194,0.0008321566,0.0002002553,0.00008364589,0.00001229388,0.000142057,0.9906739,0.0001820519,0.00006538072,0.002259202,0.005541504],"study_design_scores_gemma":[0.0002051184,0.000004410033,0.04860517,0.0001750526,0.00005040956,0.000006024142,0.000182302,0.9428483,0.004493667,0.00004398456,0.002845225,0.0005403339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4301179,0.002122364,0.5606008,0.0002794068,0.001313766,0.0002206377,0.0001401402,0.001112931,0.004092139],"genre_scores_gemma":[0.997519,0.0002383947,0.0005331194,0.00002359292,0.00008948279,0.00003020695,0.001069402,0.00003142553,0.0004654111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5674011,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044592512532438,"score_gpt":0.2143537511594089,"score_spread":0.2039078260340845,"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."}}