{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003358879,0.0003153639,0.0005666845,0.000613433,0.0007178083,0.00008492356,0.0004704832,0.0001746716,0.0002216164],"category_scores_gemma":[0.0003289162,0.0003195381,0.0001517295,0.001563618,0.0002689079,0.0008399015,0.00001141324,0.0009103519,0.000004568173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061861,"about_ca_system_score_gemma":0.00076953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6658235,"about_ca_topic_score_gemma":0.6908185,"domain_scores_codex":[0.9942325,0.00035494,0.001522924,0.0005582431,0.002229594,0.001101785],"domain_scores_gemma":[0.9934416,0.001137395,0.0001104823,0.0005023616,0.004385253,0.0004229463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005794124,0.001425032,0.6853525,0.00328729,0.0006494056,0.000621206,0.0698893,0.1476967,0.06238876,0.001062224,0.01495505,0.01209318],"study_design_scores_gemma":[0.004992581,0.001829873,0.6604212,0.0009864316,0.000109769,0.000005302716,0.1769884,0.1042637,0.04648494,0.0001679252,0.002644408,0.001105424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948071,0.00016858,0.0007877303,0.0002389327,0.0001230124,0.003003603,0.0005100309,0.0001075242,0.0002535402],"genre_scores_gemma":[0.9967654,0.00006737113,0.001733098,0.00001028419,0.0001132563,0.0008456503,0.0001487889,0.00008416589,0.0002319865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1070991,"threshold_uncertainty_score":0.9999257,"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."}}