{"id":"W592032588","doi":"","title":"MEDICINE RIVER BRIDGE REHABILITATION","year":2003,"lang":"en","type":"article","venue":"","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Girder; Deck; Engineering; Span (engineering); Structural engineering; Rehabilitation; Truck; Forensic engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006185872,0.0007843127,0.0004992756,0.0009415034,0.003417503,0.001195866,0.00194085,0.001070241,0.08332777],"category_scores_gemma":[0.0007170246,0.0002553536,0.0004889789,0.0005375035,0.0005981335,0.0003855072,0.002126838,0.001080916,0.01068377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004133613,"about_ca_system_score_gemma":0.01071025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1196054,"about_ca_topic_score_gemma":0.435781,"domain_scores_codex":[0.9994367,0.00003127215,0.00001628137,0.00009156645,0.0002332216,0.000190815],"domain_scores_gemma":[0.9996308,0.00001159074,0.00001166577,0.00002147838,0.0001739711,0.0001504251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007861183,0.003911463,0.02132239,0.0005479048,0.00004771598,0.004614972,0.001995637,0.001313217,0.01001632,0.005003724,0.2231172,0.7273233],"study_design_scores_gemma":[0.000181079,0.002192805,0.1356683,0.0006455072,0.00005400484,0.004221564,0.003086473,0.001554617,0.003450445,0.001588166,0.8472707,0.00008649938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3768762,0.004825029,0.01091249,0.00795537,0.002834974,0.004128697,0.004240532,0.001929691,0.586297],"genre_scores_gemma":[0.2822171,0.002443377,0.01305775,0.003165024,0.0001959008,0.001084108,0.003585237,0.0002866313,0.693965],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1196054,"threshold_uncertainty_score":0.2787592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009420747957472332,"score_gpt":0.2263537642187439,"score_spread":0.2169330162612716,"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."}}