{"id":"W644325252","doi":"","title":"Road safety in the City of Whitehorse","year":2004,"lang":"en","type":"article","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Transport engineering; Government (linguistics); Local government; Law enforcement; Bus priority; Road traffic; Engineering; Business; Public transport; Public administration; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003262326,0.0002868672,0.0003139491,0.0007649335,0.006984458,0.002043291,0.0007437355,0.001216084,0.006943628],"category_scores_gemma":[0.0007563153,0.0005862584,0.0003455985,0.001180696,0.00167037,0.0009779624,0.003982612,0.001467294,0.0008667727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003543965,"about_ca_system_score_gemma":0.01106606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5747156,"about_ca_topic_score_gemma":0.8256146,"domain_scores_codex":[0.9993837,0.00009193644,0.00001457959,0.00009425928,0.0001491923,0.000266379],"domain_scores_gemma":[0.999191,0.00005713146,0.000109201,0.00003773013,0.00014737,0.0004575311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005378406,0.002009931,0.7443372,0.0005749484,0.0002237739,0.02242535,0.07998048,0.00144245,0.004534334,0.006935057,0.06424718,0.07275146],"study_design_scores_gemma":[0.00004921126,0.0003480463,0.8619304,0.0002338609,0.00003731448,0.001973111,0.08217904,0.0006378369,0.0005052861,0.0006732193,0.05136281,0.00006990742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789903,0.0004514774,0.0001260332,0.003689704,0.0001010892,0.0000554756,0.0003856858,0.00001607686,0.01618414],"genre_scores_gemma":[0.9728293,0.00110256,0.000285111,0.0016073,0.0001065946,0.0001066386,0.0006606062,0.00001778649,0.02328402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252844,"threshold_uncertainty_score":0.8555779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007976795863296271,"score_gpt":0.1950175364414505,"score_spread":0.1870407405781543,"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."}}