{"id":"W2802337000","doi":"10.1002/9781119185161.ch7","title":"Safety Effects of Winter Weather and Road Maintenance Operations","year":2018,"lang":"en","type":"other","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transport engineering; Environmental science; Highway maintenance; Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007431733,0.0006722381,0.0003349511,0.0008918564,0.0002577119,0.001355841,0.0005191888,0.0004671946,0.004461962],"category_scores_gemma":[0.00194194,0.0002565278,0.0007848465,0.0008758081,0.0003056332,0.0009370422,0.0007419385,0.0005303227,0.0006350781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117645,"about_ca_system_score_gemma":0.000829339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01761018,"about_ca_topic_score_gemma":0.01524092,"domain_scores_codex":[0.9992508,0.0001309417,0.00004200073,0.000100773,0.0003932555,0.00008218945],"domain_scores_gemma":[0.9990005,0.0004074864,0.0002901879,0.00008554996,0.0001846209,0.00003172348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000298535,0.0002743497,0.07946181,0.0009309475,0.0004712857,0.0003023555,0.0006114165,0.6228821,0.01719585,0.03848888,0.007681501,0.2314011],"study_design_scores_gemma":[0.00005695306,0.0008446568,0.3284895,0.0005899186,0.0007228213,0.0006589666,0.001638872,0.487841,0.02671636,0.05100347,0.101252,0.0001855971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6355574,0.008237179,0.2215483,0.0009161197,0.0003117627,0.0002641942,0.01039274,0.001550595,0.1212218],"genre_scores_gemma":[0.9599562,0.005976942,0.01690583,0.00008375441,0.0000805059,0.00009268928,0.003175179,0.0001702334,0.01355859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01761018,"threshold_uncertainty_score":0.0350154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002597728306777539,"score_gpt":0.1843957579465001,"score_spread":0.1817980296397226,"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."}}