{"id":"W632216912","doi":"","title":"Assessing Time and Weather Effects on Collision Frequency by Severity in Edmonton Using Multivariate Safety Performance Functions","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Proxy (statistics); Snow; Collision; Multivariate analysis; Environmental science; Precipitation; Statistics; Regression analysis; Meteorology; Econometrics; Climatology; Mathematics; Geography; Computer science","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":[0.001860608,0.0005610623,0.0003722377,0.001712975,0.0003632606,0.0007053881,0.0005853887,0.0002688389,0.001550594],"category_scores_gemma":[0.002948424,0.0002730646,0.0007921468,0.001304261,0.0003826022,0.0003247989,0.0008779294,0.0004528992,0.0001097043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210323,"about_ca_system_score_gemma":0.002036808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4716509,"about_ca_topic_score_gemma":0.5805924,"domain_scores_codex":[0.999297,0.0002111249,0.0000251648,0.0001825174,0.0001234122,0.0001607163],"domain_scores_gemma":[0.9977943,0.001139155,0.000424341,0.0001531346,0.0002380004,0.0002511909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001460903,0.00007052448,0.9789732,0.000007405122,0.0001910382,0.0001522216,0.0003205769,0.01152692,0.0005217837,0.0002575853,0.0002925462,0.007540097],"study_design_scores_gemma":[0.000002624496,0.00004663535,0.9757369,0.000004603529,0.00002386691,0.00001918289,0.0002863936,0.0234018,0.00008636076,0.00008535805,0.0002958546,0.00001046867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986291,0.00003560745,0.0008585209,0.00002579846,0.0000029388,0.00000515863,0.0001937995,0.0000164885,0.0002324494],"genre_scores_gemma":[0.996806,0.00005532747,0.001194891,0.000007605747,0.000003962776,0.0000119818,0.0007146568,0.000009808404,0.001195773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.528349,"threshold_uncertainty_score":0.9378113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03335828163821365,"score_gpt":0.3337010655413501,"score_spread":0.3003427839031365,"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."}}