{"id":"W2564869632","doi":"10.3141/2601-16","title":"Comprehensive Safety Diagnosis Using Automated Video Analysis: Applications to an Urban Intersection in Edmonton, Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Intersection (aeronautics); Speed limit; Transport engineering; Data collection; Computer science; Engineering; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000843749,0.0009483375,0.0004149399,0.002255948,0.002369289,0.001204111,0.001435974,0.0007446588,0.001510938],"category_scores_gemma":[0.002025577,0.0003038661,0.0003113918,0.002881946,0.0005769853,0.000366346,0.0007177783,0.0004810332,0.0003235034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01242612,"about_ca_system_score_gemma":0.01432654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9451848,"about_ca_topic_score_gemma":0.97096,"domain_scores_codex":[0.9992203,0.0001139394,0.00002848076,0.0001262737,0.0003187725,0.0001922756],"domain_scores_gemma":[0.9984682,0.0002422593,0.00006613369,0.00004863853,0.001031911,0.0001427457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001428158,0.002164172,0.551312,0.0004086264,0.0002026845,0.005627166,0.007419959,0.08086585,0.01971557,0.001188668,0.006920596,0.3227466],"study_design_scores_gemma":[0.0001870733,0.0007044357,0.6551315,0.0001014216,0.0001622057,0.0005806922,0.0175169,0.3088718,0.007985234,0.0007772021,0.007784116,0.0001973931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843211,0.0002814137,0.007932425,0.0001739961,0.0000254333,0.0003777142,0.0009154415,0.0004584263,0.005513942],"genre_scores_gemma":[0.9839363,0.0002335477,0.01282213,0.00004045945,0.00000858181,0.0000551995,0.0009017342,0.00002425726,0.001977842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05481517,"threshold_uncertainty_score":0.1102759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04692060168433788,"score_gpt":0.3413568624470174,"score_spread":0.2944362607626795,"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."}}