{"id":"W4415258162","doi":"10.1016/j.cstp.2025.101630","title":"Automated enforcement of bus-only lanes and crossings with policy and implementation insights from a Calgary case study","year":2025,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; SAIT Polytechnic; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Indian Institute of Science","keywords":"Enforcement; License; Process (computing); Global Positioning System; Agency (philosophy); Transit (satellite); Public transport; Pedestrian crossing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.003428574,0.0006784439,0.0003181078,0.001313886,0.002462085,0.003046528,0.002340435,0.002335255,0.005296848],"category_scores_gemma":[0.00532137,0.0004661233,0.0004712995,0.001293993,0.00183653,0.001834645,0.001812267,0.001440305,0.0006388364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01172897,"about_ca_system_score_gemma":0.009955017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.24255,"about_ca_topic_score_gemma":0.2437512,"domain_scores_codex":[0.9966404,0.0009228842,0.0001648019,0.0004426706,0.0008073441,0.001021904],"domain_scores_gemma":[0.9956333,0.0015355,0.0005686925,0.0007102693,0.001165811,0.0003865353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005169937,0.00363164,0.06306873,0.0006476698,0.0001241763,0.01032974,0.008098179,0.412136,0.02011086,0.1506485,0.0254589,0.3052286],"study_design_scores_gemma":[0.0004806147,0.001303193,0.04400559,0.0003137932,0.0001870879,0.001018111,0.01454227,0.7784288,0.02163045,0.02234212,0.1155121,0.0002359471],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.719606,0.0005441823,0.1687024,0.006112142,0.0001043173,0.004146193,0.001130049,0.003046283,0.09660847],"genre_scores_gemma":[0.8541551,0.0003409927,0.128183,0.000395397,0.00001829389,0.0008106791,0.0006865407,0.0001731018,0.01523669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.75745,"threshold_uncertainty_score":0.4822763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889047060213372,"score_gpt":0.3767994815001459,"score_spread":0.3579090108980122,"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."}}