{"id":"W651670351","doi":"","title":"Effects of Winter Weather and Maintenance Treatments on Highway Safety","year":2006,"lang":"en","type":"article","venue":"Transportation Research Board 85th Annual MeetingTransportation Research Board","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Highway maintenance; Transport engineering; Snow; Crash; Engineering; Meteorology; Computer science; Geography","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":[0.00083465,0.0002927916,0.0004021701,0.0003549901,0.000396954,0.0005850006,0.0002773646,0.0002444446,0.001359692],"category_scores_gemma":[0.001994958,0.0001007265,0.0007298847,0.0003875245,0.0002286978,0.0002760471,0.0002293923,0.0003125223,0.0001074124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066459,"about_ca_system_score_gemma":0.0005562063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02886717,"about_ca_topic_score_gemma":0.06603546,"domain_scores_codex":[0.9991356,0.000212543,0.00007421885,0.0001322173,0.0003097884,0.0001356932],"domain_scores_gemma":[0.996855,0.001456708,0.0008340953,0.0002078274,0.0004911682,0.0001551772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008291786,0.001439575,0.7568248,0.000571078,0.001775134,0.0004740857,0.0007973881,0.01828089,0.1273399,0.0001978175,0.0007436958,0.08326387],"study_design_scores_gemma":[0.00001838379,0.002669109,0.9757903,0.00001021787,0.0002925248,0.00006597579,0.0003144178,0.001863269,0.01797743,0.00005237363,0.0009252434,0.00002071843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986998,0.0002009128,0.0003168834,0.00001767519,0.00001024857,0.00001185853,0.0002565907,0.00001064703,0.0004753539],"genre_scores_gemma":[0.9985241,0.0001364962,0.0003501252,0.00002066206,0.00000713475,0.00001252928,0.0004565243,0.000007131125,0.0004853042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02886717,"threshold_uncertainty_score":0.05739826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435241095811828,"score_gpt":0.2941335734512942,"score_spread":0.2797811624931759,"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."}}