{"id":"W102130764","doi":"","title":"Developing Collision Prediction Models with Weather and Driver Characteristics Related Variables","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thursday; Collision; Names of the days of the week; Snow; Multinomial logistic regression; Daylight; Statistics; Collision frequency; Demography; Meteorology; Geography; Mathematics; Computer science; Computer security; Physics","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":[0.00132833,0.0008283391,0.0006371539,0.001604132,0.0004744077,0.0009034993,0.001544333,0.0007567519,0.00119475],"category_scores_gemma":[0.003537937,0.0008877292,0.001168247,0.001367888,0.0002432377,0.001021579,0.0009107596,0.00110515,0.0003303026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546862,"about_ca_system_score_gemma":0.00228801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1406844,"about_ca_topic_score_gemma":0.1061225,"domain_scores_codex":[0.9994722,0.0001123854,0.00003628495,0.0002082266,0.0000642225,0.0001066159],"domain_scores_gemma":[0.9986612,0.0006621733,0.0002824768,0.00004597151,0.0002800002,0.00006814097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009159226,0.0001583137,0.1181252,0.00005678827,0.0001874431,0.000146044,0.0001821577,0.8533384,0.0005052295,0.001766489,0.0009736064,0.02446881],"study_design_scores_gemma":[0.000007214048,0.0000296372,0.008440611,0.000008169443,0.00002477949,0.00001697661,0.00006080051,0.9902056,0.00009043186,0.0007315672,0.0003742635,0.000009977028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7668414,0.0006306547,0.2246523,0.0005647753,0.0001116582,0.0002550028,0.003858835,0.0007721377,0.002313319],"genre_scores_gemma":[0.9616518,0.0003121235,0.03211585,0.00004584085,0.00004378442,0.0002852414,0.002944977,0.00003786351,0.002562474],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1406844,"threshold_uncertainty_score":0.279731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061907884714777,"score_gpt":0.2995827284703945,"score_spread":0.2589636496232467,"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."}}