{"id":"W2513850472","doi":"10.1139/cjce-2016-0010","title":"Optimum winter road maintenance: effect of pavement types on snow melting performance of road salts","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snow; Environmental science; Portland cement; Asphalt; Asphalt pavement; Snow removal; Geotechnical engineering; Civil engineering; Transport engineering; Engineering; Cement; Geology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006191107,0.0003183162,0.0004548114,0.0004997093,0.0002701539,0.0003921562,0.0002959876,0.0002672575,0.000578992],"category_scores_gemma":[0.001888891,0.0001573681,0.0003556368,0.0002649263,0.0002441839,0.0004348153,0.0002275333,0.0001346544,0.0001365781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098504,"about_ca_system_score_gemma":0.000247527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003646136,"about_ca_topic_score_gemma":0.009210401,"domain_scores_codex":[0.9994042,0.0001585265,0.00006731677,0.00009770594,0.0001904107,0.00008189244],"domain_scores_gemma":[0.9986579,0.0005580644,0.0002937355,0.00009282309,0.0003005149,0.00009700226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004092398,0.0005780209,0.23744,0.0002882274,0.0001317089,0.0002885137,0.0003732074,0.02157528,0.7010462,0.00004484196,0.00008203551,0.03405951],"study_design_scores_gemma":[0.00004275334,0.009620434,0.5465906,0.00001342464,0.0001997245,0.0002907104,0.0004931174,0.01414363,0.4279918,0.00004852129,0.00052754,0.00003765058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996219,0.00002969249,0.0002379835,0.000001248438,8.091971e-7,0.000004215626,0.00001923217,0.000004784275,0.00008019021],"genre_scores_gemma":[0.9994639,0.00001883497,0.0003850122,0.000001084067,6.560828e-7,0.000001970234,0.00003756828,0.000003560927,0.00008736011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003646136,"threshold_uncertainty_score":0.007249832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00339928163092329,"score_gpt":0.1690645165413176,"score_spread":0.1656652349103943,"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."}}