{"id":"W2620205529","doi":"","title":"An Integrated Traffic Microsimulation Model of Illegal On-street Parking in Downtown Toronto","year":2017,"lang":"en","type":"article","venue":"Transportation Research Board 96th Annual MeetingTransportation Research Board","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Downtown; Microsimulation; Transport engineering; Traffic congestion; Geography; Engineering","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":[0.0002902441,0.0007179466,0.0007689269,0.0004475556,0.000874676,0.001373596,0.001713596,0.001489759,0.006283807],"category_scores_gemma":[0.000916963,0.000563536,0.0006979466,0.0005800221,0.000865503,0.0007053014,0.0009427068,0.0007330274,0.0003535601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005615002,"about_ca_system_score_gemma":0.004074129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6379407,"about_ca_topic_score_gemma":0.4866483,"domain_scores_codex":[0.9997786,0.00004270002,0.000006432363,0.0000424937,0.00002588014,0.0001039559],"domain_scores_gemma":[0.9995965,0.0001301111,0.00005188786,0.00001788955,0.0001292321,0.00007434805],"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":[0.00001755983,0.000009129378,0.0004907754,0.000005270101,0.000005513646,0.00002642008,0.00002304077,0.9967985,0.0001231851,0.001995475,0.0001848847,0.0003203555],"study_design_scores_gemma":[0.000004915915,0.000005366761,0.0002561898,0.000001574887,0.000004559957,0.000001708994,0.00002053712,0.9993265,0.00003194581,0.0002259449,0.0001175063,0.000003361154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8948871,0.0003130745,0.05334475,0.0009222698,0.00008460862,0.00009111195,0.00206368,0.0003688469,0.04792448],"genre_scores_gemma":[0.9917682,0.00006133821,0.0009145256,0.00002303814,0.000006755725,0.0000269328,0.0002922963,0.00002391091,0.006882873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3620593,"threshold_uncertainty_score":0.7283831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0635136167612405,"score_gpt":0.3774931637495689,"score_spread":0.3139795469883284,"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."}}