{"id":"W610052355","doi":"","title":"GOOD WINTER MAINTENANCE BOOSTS ROAD SAFETY","year":2002,"lang":"en","type":"article","venue":"Better roads","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icing; Snow; Snow removal; Transport engineering; Environmental science; Engineering; Meteorology; 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":[0.0009461282,0.000356817,0.0003550546,0.0008375882,0.001163211,0.001265578,0.0006081269,0.00108513,0.029196],"category_scores_gemma":[0.002678121,0.0001483151,0.0003637962,0.0003500464,0.000429778,0.0007364808,0.00141754,0.000609818,0.005340542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007991197,"about_ca_system_score_gemma":0.001015327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006063378,"about_ca_topic_score_gemma":0.01971636,"domain_scores_codex":[0.9993443,0.0001324134,0.00002629773,0.00005288973,0.0002460757,0.0001979115],"domain_scores_gemma":[0.9979571,0.0001867162,0.0003094501,0.0002242442,0.0006123604,0.0007101494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004298156,0.002515713,0.09162342,0.0006116041,0.0001259424,0.0004442756,0.001623086,0.001243355,0.01458494,0.006472014,0.1454668,0.734859],"study_design_scores_gemma":[0.0001030751,0.001519542,0.595422,0.0002727849,0.0001621491,0.001206195,0.003632052,0.001106258,0.005016002,0.004877584,0.3866467,0.00003569655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6746357,0.007841113,0.006031343,0.03710892,0.002588851,0.0001424354,0.0009658881,0.002275438,0.2684102],"genre_scores_gemma":[0.9257371,0.00239721,0.004619398,0.002789162,0.001463395,0.00004320896,0.0005468778,0.0001866521,0.06221703],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.029196,"threshold_uncertainty_score":0.09767032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00839796280790301,"score_gpt":0.1915790129276426,"score_spread":0.1831810501197396,"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."}}