{"id":"W4317809692","doi":"10.3390/civileng4010007","title":"Review of Accelerated Bridge Construction Systems for Bridge Superstructures and Their Adaptability for Cold Weather","year":2023,"lang":"en","type":"article","venue":"CivilEng","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Adaptability; Bridge (graph theory); Precast concrete; Cold weather; Forensic engineering; Architectural engineering; Cold climate; Presentation (obstetrics); Climate change; Civil engineering; Engineering; Computer science; Environmental resource management; Environmental science; Meteorology; Geography; Geology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003945972,0.0001395185,0.0003388777,0.00004220833,0.00005461526,0.00001930295,0.00007465492,0.00007391639,0.00003405704],"category_scores_gemma":[0.0001999082,0.000119266,0.0001006905,0.0001689972,0.00006133852,0.00006981017,0.00002083412,0.0000618928,0.000001179812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000351195,"about_ca_system_score_gemma":0.00002054285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001733771,"about_ca_topic_score_gemma":0.00001407563,"domain_scores_codex":[0.9992269,0.00003119557,0.0003094827,0.000201749,0.00005376984,0.0001768806],"domain_scores_gemma":[0.9992276,0.0003054212,0.00004025725,0.0002371131,0.0001327981,0.00005685215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003158536,0.0000568204,0.01634508,0.2858839,0.0003910492,0.000001672762,0.002839408,0.001609077,0.4096008,0.008543751,0.1538372,0.1205754],"study_design_scores_gemma":[0.005680515,0.0004998889,0.1591408,0.01412697,0.0003292114,0.00006236089,0.001787372,0.4140943,0.0743859,0.001242053,0.3265495,0.002101142],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953186,0.03580197,0.006228098,0.00008277238,0.0009913523,0.002303399,0.0008122617,0.0004496056,0.000144584],"genre_scores_gemma":[0.9938994,0.005663009,0.00006362265,0.00002827322,0.0000679429,0.0001938536,0.00004566853,0.00002554299,0.00001269992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4124852,"threshold_uncertainty_score":0.4863527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05180107309217603,"score_gpt":0.2656481200782919,"score_spread":0.2138470469861159,"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."}}