{"id":"W2189148511","doi":"","title":"CITY OF TORONTO BY-LAW No. 531-2014 To amend City of Toronto Municipal Code Chapter 950, Traffic and Parking, respecting St. Clair Avenue East. The Council of the City of Toronto enacts: 1. Municipal Code Chapter 950, Traffic and Parking, is amended as follows: A. By deleting from Schedule XXXV (Speed Limits on Public Highways) in § 950-1334, the following in alphabetical order by street name:","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Law; Geography; Political science","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":[0.005390949,0.0007863138,0.001483835,0.00004822281,0.0003112723,0.0001520887,0.001372166,0.0004772784,0.0003865407],"category_scores_gemma":[0.001409904,0.0005816846,0.000281011,0.0001939194,0.0005517905,0.0005487855,0.0005125708,0.0007846885,0.000002170656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171144,"about_ca_system_score_gemma":0.0001597848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1544207,"about_ca_topic_score_gemma":0.6475904,"domain_scores_codex":[0.9928971,0.0008551616,0.001867453,0.001046232,0.002061622,0.001272447],"domain_scores_gemma":[0.9954289,0.001679691,0.0005619054,0.00157957,0.0004136442,0.000336279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006190849,0.005231873,0.2292219,0.002417226,0.006590501,0.00003960474,0.365268,0.01511998,0.3100362,0.009793832,0.0193795,0.03071051],"study_design_scores_gemma":[0.02576722,0.004490931,0.03554627,0.00649877,0.0007181959,0.00002634289,0.04821065,0.5745677,0.05689555,0.0001501081,0.2419655,0.005162815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858915,0.005082193,0.00006563863,0.0002943499,0.0003395945,0.001377136,0.0003839134,0.0001127401,0.006452957],"genre_scores_gemma":[0.9988848,0.0002449752,0.0002631487,0.0001492768,0.0001053916,0.00008209876,0.0000254129,0.0001271315,0.00011779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5594477,"threshold_uncertainty_score":0.9996635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501829622164523,"score_gpt":0.2649458608689044,"score_spread":0.2299275646472592,"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."}}