{"id":"W3186699464","doi":"10.1111/cag.12707","title":"Development and attribution of a linear referencing system for managing and disseminating traffic volume data on rural highway networks","year":2021,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Dillon Consulting","funders":"","keywords":"Dissemination; Computer science; Volume (thermodynamics); Data mining; Process (computing); Visualization; Traffic volume; Data collection; Transport engineering; Engineering; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01399602,0.0005439376,0.0005480395,0.004922333,0.001184669,0.002958725,0.001602007,0.0006406488,0.001517768],"category_scores_gemma":[0.02703237,0.0005664296,0.0006309598,0.003738528,0.001064428,0.002829601,0.002181812,0.0009315676,0.000725157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002676211,"about_ca_system_score_gemma":0.007918368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0178456,"about_ca_topic_score_gemma":0.01441272,"domain_scores_codex":[0.9911276,0.003487629,0.001088985,0.001488776,0.002460947,0.0003460389],"domain_scores_gemma":[0.9772843,0.004715723,0.002858198,0.003629467,0.01106768,0.0004445849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003150927,0.0006665527,0.04580995,0.0004624792,0.000104303,0.000271975,0.004817079,0.1069309,0.03696662,0.04464193,0.003377962,0.7556351],"study_design_scores_gemma":[0.000117668,0.0009714101,0.0257918,0.0002295084,0.0001548522,0.0002619781,0.002979517,0.8124789,0.1057599,0.01523547,0.03577089,0.0002481369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02860467,0.00002691608,0.966145,0.0001025033,0.00001458168,0.0007874079,0.0002124553,0.002070097,0.00203631],"genre_scores_gemma":[0.1168425,0.00004866144,0.8808225,0.00002570752,0.00001055379,0.0004534303,0.0005410056,0.0001330787,0.001122643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9821544,"threshold_uncertainty_score":0.0740189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173940623896475,"score_gpt":0.195211361338984,"score_spread":0.1834719551000192,"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."}}