{"id":"W4296100939","doi":"10.1061/9780784484265.250","title":"Method of Estimating the Number of Traffic Police Patrols and Standbys","year":2022,"lang":"en","type":"article","venue":"CICTP 2022","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Precinct; Beijing; Queueing theory; Percentile; Computer science; Operations research; Transport engineering; Computer security; Computer network; Engineering; Statistics; Mathematics; Geography","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":[0.001193157,0.0008004207,0.0006803867,0.003229617,0.0004659563,0.0008008311,0.001289936,0.0007048777,0.001804834],"category_scores_gemma":[0.005595998,0.0004347851,0.0004162905,0.001329221,0.0003688005,0.0009646349,0.0007071701,0.0006758004,0.0004895311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008970128,"about_ca_system_score_gemma":0.001461887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004656002,"about_ca_topic_score_gemma":0.003587446,"domain_scores_codex":[0.998664,0.0002917414,0.00009228876,0.0003902294,0.0004847204,0.0000770132],"domain_scores_gemma":[0.9979665,0.000763157,0.0004581565,0.0001680459,0.0005587361,0.00008540211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002727825,0.000216505,0.05170855,0.0004852123,0.0001676844,0.0002043598,0.0002872304,0.3403401,0.02378248,0.02483557,0.005002731,0.5526968],"study_design_scores_gemma":[0.00001845163,0.00009631446,0.01238029,0.00003701239,0.0000254307,0.0002401506,0.0001082026,0.9702916,0.007171315,0.005886771,0.00368456,0.00005995387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02529416,0.0002154654,0.9718255,0.00007636882,0.00003527295,0.00009438928,0.0003181209,0.0005191431,0.001621611],"genre_scores_gemma":[0.4052456,0.0002805181,0.5911941,0.00003798414,0.00005448485,0.0003633634,0.0006197137,0.00007329137,0.00213095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004656002,"threshold_uncertainty_score":0.009257853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524284455142019,"score_gpt":0.2721316180660018,"score_spread":0.2568887735145817,"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."}}