{"id":"W2338820223","doi":"","title":"Evaluating the Safety Impacts of Countermeasures for Winter Weather Collisions","year":2015,"lang":"en","type":"article","venue":"TAC 2015: Getting You There Safely - 2015 Conference and Exhibition of the Transportation Association of Canada // ATC: Destination sécurité routière - 2015 Congrès et Exposition de l'Association des transports du Canada","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Christian ministry; Winter storm; Snow; Transport engineering; Collision; Warning system; Fencing; Microclimate; Meteorology; Extreme weather; Engineering; Geography; Computer science; Climate change; Computer security","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":[0.01010345,0.001260828,0.0009273323,0.002398346,0.0007407838,0.0009061685,0.001615404,0.0006857707,0.0008529031],"category_scores_gemma":[0.01761033,0.0003315604,0.00176653,0.001458204,0.0007965713,0.0006334303,0.0007191888,0.0006692579,0.0001071072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0109858,"about_ca_system_score_gemma":0.009912019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1730538,"about_ca_topic_score_gemma":0.248732,"domain_scores_codex":[0.9931155,0.001768064,0.0004043454,0.0004286436,0.003677589,0.0006058973],"domain_scores_gemma":[0.983914,0.007081106,0.003945075,0.0005583719,0.004088418,0.0004129051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006349185,0.002561299,0.351282,0.001614712,0.002081747,0.000246172,0.0008651997,0.2934663,0.01148887,0.002525941,0.001370623,0.3261479],"study_design_scores_gemma":[0.0004605722,0.06015986,0.7204741,0.0003423962,0.001755313,0.0001244082,0.002663361,0.1875018,0.01818725,0.001516754,0.006656425,0.0001578353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818287,0.0009887244,0.008157078,0.0001293331,0.00003194268,0.00231562,0.0008580915,0.0000852981,0.005605227],"genre_scores_gemma":[0.988254,0.0005773475,0.008870765,0.00004761047,0.000009506296,0.0005346323,0.000511071,0.000006642226,0.001188513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1730538,"threshold_uncertainty_score":0.344093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803641185372169,"score_gpt":0.2638144941012724,"score_spread":0.2457780822475508,"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."}}