{"id":"W2181547443","doi":"","title":"CITY OF TORONTO BY-LAW No. 1004-2012 To amend City of Toronto Municipal Code Chapter 743, Streets and Sidewalks, Use of with respect to certain technical matters.","year":2012,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Engineering; Law; Civil engineering; Transport engineering; Political science; Computer science; Programming language","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":[0.001432471,0.001042151,0.0006822499,0.001438822,0.008893192,0.006372188,0.001919941,0.006629208,0.0700193],"category_scores_gemma":[0.007468649,0.001376558,0.0005821535,0.003019793,0.001604744,0.001702248,0.001529972,0.003776673,0.02794244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03580033,"about_ca_system_score_gemma":0.076424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9514925,"about_ca_topic_score_gemma":0.9861766,"domain_scores_codex":[0.9954832,0.0002002793,0.0002409148,0.0003888192,0.002520215,0.001166628],"domain_scores_gemma":[0.9923117,0.0006165399,0.0002789804,0.0006224577,0.005493132,0.0006772038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003243634,0.00001381914,0.0009551927,0.000104102,0.00000518779,0.0001075229,0.0008253014,0.00009798383,0.0003250826,0.03146232,0.961732,0.004339007],"study_design_scores_gemma":[0.0000157237,0.00001183189,0.007474901,0.00008842045,0.00001416013,0.00003894488,0.0004955769,0.0001048618,0.0002923706,0.0007385896,0.9906968,0.00002778391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007737916,0.002839182,0.00195531,0.01676374,0.003083304,0.0007702374,0.04534302,0.001072037,0.9204353],"genre_scores_gemma":[0.02489776,0.0008294777,0.001286818,0.005765263,0.0002333619,0.0003081003,0.009009629,0.0003073098,0.9573622],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0700193,"threshold_uncertainty_score":0.2597508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668874942133044,"score_gpt":0.2440147480507083,"score_spread":0.2273259986293779,"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."}}