{"id":"W755949581","doi":"","title":"Vehicle Routing of Urban Snow Plowing Operations: Case Study for City of Edmonton, Canada","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow removal; Arc routing; Routing (electronic design automation); Transport engineering; Computer science; Operations research; Plough; Metaheuristic; Snow; Engineering; Geography; Algorithm; Meteorology; Computer network","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":[0.0004125054,0.0009756223,0.0004620227,0.0008891713,0.002711183,0.001302736,0.001924505,0.001188401,0.003030225],"category_scores_gemma":[0.0007615385,0.0004000478,0.0007317247,0.002699458,0.001027768,0.0004807241,0.0005781964,0.0006361118,0.0001877054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03031428,"about_ca_system_score_gemma":0.01561172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747096,"about_ca_topic_score_gemma":0.9843348,"domain_scores_codex":[0.9995485,0.00006443077,0.00001162012,0.00005138285,0.00009035834,0.0002336841],"domain_scores_gemma":[0.9994953,0.0001820592,0.00003395374,0.000020176,0.0001571504,0.0001113128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002197002,0.0003500958,0.02101457,0.0001735668,0.00007120898,0.002847762,0.0003637306,0.9501358,0.001678154,0.004397197,0.005044687,0.0137036],"study_design_scores_gemma":[0.0001319429,0.0002171882,0.02754325,0.00003666338,0.00007534145,0.0002075332,0.004301482,0.9581403,0.001716101,0.001018487,0.006547508,0.00006435961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977957,0.000327361,0.004580557,0.0004377969,0.00002500082,0.0003347795,0.001351425,0.0001357435,0.01485045],"genre_scores_gemma":[0.9822151,0.0003563124,0.006886902,0.00005678864,0.000006171916,0.00007170539,0.00107385,0.00002566208,0.009307371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03031428,"threshold_uncertainty_score":0.2199466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04686018365527881,"score_gpt":0.3380961581851764,"score_spread":0.2912359745298976,"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."}}