{"id":"W3127468403","doi":"10.1139/cjce-2019-0465","title":"Material application methodologies for winter road maintenance: a renewed perspective","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Minnesota Department of Transportation; U.S. Department of Transportation","keywords":"Brine; Sustainability; Highway maintenance; Snow; Environmental science; Transport engineering; Computer science; Engineering; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008429833,0.001011397,0.001187303,0.006192561,0.001051212,0.006162765,0.001939495,0.002669737,0.003324153],"category_scores_gemma":[0.008019987,0.0006533201,0.0008197481,0.008405308,0.003306083,0.007484905,0.00134016,0.002339339,0.0007131959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005073361,"about_ca_system_score_gemma":0.007050136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008436088,"about_ca_topic_score_gemma":0.01359956,"domain_scores_codex":[0.9956495,0.002030211,0.0003748677,0.0003507539,0.00142703,0.0001677039],"domain_scores_gemma":[0.9851632,0.01130835,0.0005806896,0.0003428118,0.002414796,0.0001901574],"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":[0.00005676754,0.0002148332,0.001523286,0.02826235,0.0001058946,0.0007286945,0.008847533,0.001320667,0.003299123,0.1131285,0.01626961,0.8262427],"study_design_scores_gemma":[0.000009874782,0.0001628868,0.00301489,0.025131,0.00008238875,0.001159515,0.01098931,0.0009657871,0.001524532,0.02454892,0.9323397,0.00007117094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.003671989,0.9627098,0.01112013,0.006059824,0.0006333853,0.00007733302,0.00003975695,0.00003514784,0.01565257],"genre_scores_gemma":[0.03242072,0.9311008,0.0298575,0.002073948,0.0005741366,0.0001592355,0.00008763379,0.00004507002,0.003680922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008436088,"threshold_uncertainty_score":0.04458177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300373196750486,"score_gpt":0.2282683677818078,"score_spread":0.2152646358143029,"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."}}