{"id":"W3033450757","doi":"10.1177/0361198120920270","title":"Before–After Evaluation of Left-Turn Lane Extension Considering Injury Severity and Collision Type","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collision; Intersection (aeronautics); Statistics; Simulation; Poison control; Bayesian probability; Mathematics; Computer science; Transport engineering; Engineering; Medicine; Computer security; Emergency medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002757158,0.0003685826,0.0006729461,0.0009252892,0.0003554608,0.0002570687,0.0005647439,0.0003565258,0.0021386],"category_scores_gemma":[0.00549686,0.0001675306,0.0008485649,0.0004765238,0.0003210577,0.0003500676,0.0004617377,0.0003858625,0.0002044593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045546,"about_ca_system_score_gemma":0.001754153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01617887,"about_ca_topic_score_gemma":0.04572575,"domain_scores_codex":[0.997654,0.0008607846,0.0001529419,0.0002632948,0.0006775375,0.0003914815],"domain_scores_gemma":[0.9962901,0.0008531847,0.0009867585,0.0002197349,0.001174039,0.0004763241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01734271,0.01199546,0.8020252,0.0004130848,0.0008212971,0.0002846722,0.001262385,0.005994237,0.006617591,0.0001853985,0.0007612737,0.1522966],"study_design_scores_gemma":[0.0001022282,0.01584718,0.9789624,0.00002357837,0.0002699753,0.00004480579,0.0004457745,0.001372218,0.002172759,0.00005134673,0.0006883502,0.00001951184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997809,0.0001803994,0.000738642,0.0000275053,0.00001172351,0.00020159,0.0002017483,0.00001342905,0.0008158947],"genre_scores_gemma":[0.9978307,0.00009673666,0.0006209285,0.00001880304,0.000008041344,0.0001468944,0.0004302596,0.000002657136,0.0008449174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01617887,"threshold_uncertainty_score":0.0321694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08740171948256659,"score_gpt":0.3590431121198608,"score_spread":0.2716413926372942,"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."}}