{"id":"W2139534252","doi":"10.1061/(asce)1084-0702(2008)13:2(202)","title":"Live Load Distributions on an Impact-Damaged Prestressed Concrete Girder Bridge Repaired Using Prestressed CFRP Sheets","year":2008,"lang":"en","type":"article","venue":"Journal of Bridge Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; U.S. Department of Transportation","keywords":"Structural engineering; Girder; Prestressed concrete; Deflection (physics); Structural load; Truck; Flexural strength; Bridge (graph theory); Fibre-reinforced plastic; Engineering; Beam bridge; Finite element method; Carbon fiber reinforced polymer; Span (engineering); Materials science; Reinforced concrete","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002169746,0.0005508949,0.0006853443,0.0003034716,0.0001632105,0.0001019546,0.000486824,0.0002215621,0.00008556023],"category_scores_gemma":[0.0003260681,0.0005440578,0.0004284103,0.0003512593,0.00007513662,0.0009712965,0.00005206747,0.0009294364,0.00001267583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007649393,"about_ca_system_score_gemma":0.000227711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001129811,"about_ca_topic_score_gemma":8.726736e-7,"domain_scores_codex":[0.9973552,0.00005203905,0.0009056572,0.0002727328,0.0007138756,0.0007005326],"domain_scores_gemma":[0.9980859,0.000170272,0.0002883496,0.0005581913,0.0003474355,0.0005498735],"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":[0.00009429421,0.000002984398,0.001250995,0.000054424,0.0002328677,0.000734097,0.0004458409,0.8761784,0.1199737,0.000006026673,0.0007231031,0.0003032288],"study_design_scores_gemma":[0.002098331,0.000512825,0.3641662,0.0004760314,0.0002137178,0.002811586,0.00002487459,0.5573094,0.0711802,0.000002574785,0.0002800835,0.0009241356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837757,0.0004134074,0.01401936,0.0000156031,0.0009019858,0.0002545756,0.0001267219,0.0004115344,0.00008109519],"genre_scores_gemma":[0.9966283,0.00011146,0.002492848,0.00001085079,0.0005719285,0.000005873991,0.00003169912,0.0001272033,0.0000198146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3629152,"threshold_uncertainty_score":0.9997011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03413784077081099,"score_gpt":0.2691120036330762,"score_spread":0.2349741628622652,"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."}}