{"id":"W2014348724","doi":"10.1080/15568310801915559","title":"The Effectiveness of Automated and Manned Traffic Enforcement","year":2009,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Motor Association Foundation for Traffic Safety; Centre for Transportation Engineering and Planning","keywords":"Enforcement; Law enforcement; Deterrence theory; Computer security; Differential (mechanical device); Transport engineering; Population; Poison control; Business; Engineering; Aeronautics; Computer science; Political science; Medicine; Environmental health; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002928319,0.0002031769,0.0003085633,0.001204783,0.0005124713,0.001418966,0.0007572068,0.0003913161,0.003270533],"category_scores_gemma":[0.01883629,0.000137108,0.0003898981,0.0006256075,0.001015226,0.001299392,0.001076626,0.0003937204,0.0001558854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000840639,"about_ca_system_score_gemma":0.0008806709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007829846,"about_ca_topic_score_gemma":0.01128509,"domain_scores_codex":[0.995405,0.001967544,0.000276601,0.0003835672,0.001452801,0.0005145678],"domain_scores_gemma":[0.9765475,0.00896226,0.009815501,0.001604785,0.002223892,0.0008460087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001474085,0.001081637,0.7400881,0.0003847038,0.0007413398,0.0005246461,0.0007937437,0.02255959,0.00351951,0.009945642,0.001149534,0.2177374],"study_design_scores_gemma":[0.00004540691,0.001561874,0.9758865,0.0001474907,0.0001516184,0.0003863148,0.0009576395,0.0129588,0.001431251,0.002172299,0.004257548,0.00004330188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889492,0.000439325,0.0006204076,0.0001285777,0.00001972038,0.00003164949,0.00008221145,0.00001678723,0.009712149],"genre_scores_gemma":[0.9992386,0.00006713312,0.0001838003,0.00001718984,0.00001300111,0.000003233469,0.00002030206,0.000001562211,0.0004552986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007829846,"threshold_uncertainty_score":0.01556855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002317608408485237,"score_gpt":0.2140711995338854,"score_spread":0.2117535911254001,"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."}}