{"id":"W2185513479","doi":"","title":"CITY OF TORONTO BY-LAW No. 245-2015 To amend City of Toronto Municipal Code Chapter 950, Traffic and Parking, respecting Lonsdale Road. The Council of the City of Toronto enacts: 1. Municipal Code Chapter 950, Traffic and Parking, is amended as follows: A. By inserting in Schedule XXXV (Speed Limits on Public Highways) in § 950-1334, the following in alphabetical order by street name:","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"City centre; Law; Engineering; Political science; Civil 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004392101,0.0007907999,0.00169145,0.00006465163,0.0001656967,0.00009273383,0.001048433,0.0004325986,0.0001959249],"category_scores_gemma":[0.0006207877,0.0005770893,0.0003104359,0.0003350906,0.000375161,0.0007986794,0.0002361496,0.0005920291,8.502043e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092692,"about_ca_system_score_gemma":0.0002066191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3071702,"about_ca_topic_score_gemma":0.8870822,"domain_scores_codex":[0.9935751,0.0004177647,0.002356933,0.0009276734,0.001700118,0.001022395],"domain_scores_gemma":[0.9967564,0.0005093628,0.000637275,0.001338111,0.0004111757,0.0003476631],"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":[0.0034145,0.004802167,0.4195972,0.001215189,0.004672351,0.00004859936,0.4466998,0.0206508,0.0865485,0.00324322,0.002853982,0.00625373],"study_design_scores_gemma":[0.04235474,0.005828414,0.08122368,0.006614527,0.002171991,0.00003388579,0.1648834,0.5783809,0.06299876,0.0001125956,0.04767978,0.007717242],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845179,0.008612618,0.00002612138,0.0002379432,0.0002048948,0.001178009,0.0001945807,0.00009266856,0.004935299],"genre_scores_gemma":[0.9990578,0.0002418771,0.0001946669,0.0001334843,0.00003699069,0.00006073745,0.00001668243,0.0001018608,0.0001558608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5799119,"threshold_uncertainty_score":0.9996681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440770798313722,"score_gpt":0.2598705751617708,"score_spread":0.2154628671786335,"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."}}