{"id":"W2181779509","doi":"","title":"CITY OF TORONTO BY-LAW No. 219-2015 To amend City of Toronto Municipal Code Chapter 950, Traffic and Parking, respecting Park Lawn Road. The Council of the City of Toronto enacts: 1. Municipal Code Chapter 950, Traffic and Parking, is amended as follows:","year":2015,"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":"Lawn; Law; Transport engineering; Civil engineering; Public administration; Geography; Engineering; 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":[0.004809964,0.0008283918,0.001621728,0.00003449104,0.0002836938,0.0001124205,0.001342552,0.0004345838,0.000678731],"category_scores_gemma":[0.000615077,0.0006266295,0.0003367581,0.0001363609,0.0007932615,0.0006862644,0.0006679725,0.0004702269,0.000003770427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002262081,"about_ca_system_score_gemma":0.0002837963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2811796,"about_ca_topic_score_gemma":0.64253,"domain_scores_codex":[0.9931481,0.0004408094,0.00188184,0.0009335834,0.00247264,0.00112305],"domain_scores_gemma":[0.9951574,0.0005682979,0.0006822259,0.002024244,0.001004634,0.0005632354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007074052,0.002455522,0.03631619,0.00345703,0.006896896,0.0000427448,0.793424,0.01060077,0.0948727,0.009008881,0.01622834,0.0196229],"study_design_scores_gemma":[0.01746809,0.005645384,0.02188489,0.003615377,0.001131301,0.0001760861,0.0699356,0.127329,0.06825782,0.0001766372,0.6793301,0.00504966],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295238,0.009701618,0.00003480931,0.00009357279,0.0005612042,0.001510327,0.0002711104,0.0001532983,0.05815024],"genre_scores_gemma":[0.9973183,0.0006336032,0.0003366838,0.00009697041,0.0001765547,0.00009259085,0.000006933086,0.000128513,0.00120984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7234884,"threshold_uncertainty_score":0.9996185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06562251224701476,"score_gpt":0.2951894466819237,"score_spread":0.2295669344349089,"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."}}