{"id":"W2083524786","doi":"10.1016/j.aap.2012.02.005","title":"A disaggregate model for quantifying the safety effects of winter road maintenance activities at an operational level","year":2012,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Waterloo","funders":"Ontario Ministry of Transportation","keywords":"Environmental science; Road surface; Visibility; Transport engineering; Collision; Wind speed; Storm; Poison control; Meteorology; Engineering; Computer science; Civil engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007222483,0.0007481659,0.001006729,0.0004894874,0.0004090368,0.001237113,0.00117186,0.001357692,0.003376487],"category_scores_gemma":[0.00179717,0.0006129284,0.001069707,0.0007161256,0.0005436476,0.001156778,0.001281942,0.001086468,0.0004737086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276724,"about_ca_system_score_gemma":0.001421009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03625109,"about_ca_topic_score_gemma":0.02535449,"domain_scores_codex":[0.9995801,0.000117827,0.00002030917,0.00009975268,0.00007533102,0.0001067619],"domain_scores_gemma":[0.9992625,0.0003396024,0.0001029205,0.0001015116,0.0001219425,0.00007150872],"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":[0.00002353521,0.0000196397,0.0008943355,0.00000749109,0.00001592025,0.00001686914,0.00001626022,0.9954839,0.0004940109,0.001566871,0.0001225837,0.001338542],"study_design_scores_gemma":[0.000004368749,0.00001793342,0.0008280536,0.000001124099,0.00001028397,0.000004233981,0.000009084439,0.9975903,0.00007974322,0.001281169,0.0001696133,0.000004142071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5957586,0.0002866177,0.386539,0.0004890596,0.00007150009,0.00009837237,0.003207241,0.0006333137,0.01291622],"genre_scores_gemma":[0.9788471,0.00009874531,0.01416709,0.00005557126,0.00002012328,0.00007424239,0.0007580654,0.00005555621,0.005923476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03625109,"threshold_uncertainty_score":0.07208019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03514571469812505,"score_gpt":0.2864995744635913,"score_spread":0.2513538597654663,"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."}}