{"id":"W4235413435","doi":"10.32920/ryerson.14653878","title":"Operational analysis and safety audit for East York traffic network","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Audit; Transport engineering; Installation; Toll; Service (business); Data collection; Computer science; Engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001609996,0.0003302887,0.0002536396,0.002050358,0.0006835421,0.000528028,0.0003911373,0.0001735168,0.00290706],"category_scores_gemma":[0.003998681,0.0001832484,0.0001556681,0.001134705,0.0002551387,0.0005702891,0.0003611541,0.0003576437,0.0004079947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002761344,"about_ca_system_score_gemma":0.002355118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1216372,"about_ca_topic_score_gemma":0.1483931,"domain_scores_codex":[0.9982767,0.0003791373,0.0001284762,0.0001482504,0.0009294313,0.0001379692],"domain_scores_gemma":[0.9934726,0.0007801339,0.0004851093,0.0003267211,0.004778307,0.0001571956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001427066,0.000983752,0.6359276,0.0002685054,0.000100653,0.0006043923,0.001531635,0.147847,0.02207309,0.00233865,0.02130877,0.1655889],"study_design_scores_gemma":[0.00006940556,0.001664513,0.6222816,0.00006786382,0.00007654777,0.0001983134,0.003246064,0.3390315,0.02015661,0.0005149965,0.01259074,0.0001018475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817967,0.00006945374,0.008624095,0.0001465406,0.00002854892,0.0004607813,0.003214372,0.0003407401,0.00531856],"genre_scores_gemma":[0.9815708,0.000104956,0.007832091,0.00001502215,0.000006476865,0.0001652945,0.004804363,0.00003114311,0.005470015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1216372,"threshold_uncertainty_score":0.2418584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009522423775087323,"score_gpt":0.1973712987023604,"score_spread":0.187848874927273,"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."}}