{"id":"W3211309885","doi":"10.32920/ryerson.14649567.v1","title":"Inservice road safety audit review of Toronto intersections","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Intersection (aeronautics); Audit; Service (business); Collision; Traffic engineering; Road traffic safety; Identification (biology); Road traffic; Engineering; Computer science; Risk analysis (engineering); Business; Computer security","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":[0.03436143,0.0005245056,0.000689399,0.01515773,0.004663197,0.004683607,0.002085327,0.00101041,0.01023677],"category_scores_gemma":[0.09079137,0.0008839109,0.0004720993,0.01080434,0.0009772093,0.001392321,0.003383132,0.001127178,0.00296617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03530459,"about_ca_system_score_gemma":0.1165716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.348823,"about_ca_topic_score_gemma":0.5390832,"domain_scores_codex":[0.9505796,0.01464023,0.006143499,0.001920417,0.02393777,0.002778452],"domain_scores_gemma":[0.7112425,0.03000474,0.02117042,0.0112217,0.2191308,0.007229935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007426011,0.0003587884,0.06254137,0.008247587,0.0001656881,0.002393952,0.02640709,0.001724903,0.007270229,0.005264314,0.4874075,0.3974759],"study_design_scores_gemma":[0.00006598764,0.0003838367,0.1443838,0.00353098,0.0001612089,0.0006085281,0.01055632,0.001185182,0.007569707,0.0005321427,0.8308656,0.0001566248],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3884585,0.06470016,0.03397974,0.04843793,0.008568643,0.02997207,0.05753007,0.00699574,0.3613572],"genre_scores_gemma":[0.6541281,0.03071411,0.04846913,0.004392085,0.001079767,0.00788748,0.02513838,0.00099033,0.2272006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6511769,"threshold_uncertainty_score":0.6935853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009656434927599761,"score_gpt":0.2308420541242209,"score_spread":0.2211856191966211,"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."}}