{"id":"W2002130487","doi":"10.1007/s00291-011-0243-6","title":"DEA based models for reallocations of police personnel","year":2011,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Centre for Management of Technology and Entrepreneurship, University of Toronto","keywords":"Data envelopment analysis; Productivity; Computer science; Unit (ring theory); Set (abstract data type); Service (business); Metropolitan area; Operations research; Operations management; Business; Risk analysis (engineering); Marketing; Economics","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":[0.005619629,0.001839657,0.002982798,0.002391608,0.0008706914,0.003652907,0.00296964,0.00287398,0.01023041],"category_scores_gemma":[0.01358209,0.00169233,0.002209177,0.002953305,0.001485017,0.003832474,0.001858553,0.002983854,0.001108777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004541619,"about_ca_system_score_gemma":0.001796388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695759,"about_ca_topic_score_gemma":0.01302818,"domain_scores_codex":[0.9972116,0.001612704,0.0001068149,0.0003906291,0.0003208057,0.0003573292],"domain_scores_gemma":[0.9899297,0.008127852,0.000713245,0.0003908864,0.0006268585,0.0002114415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002298254,0.00002051513,0.000171448,0.00002178391,0.00002121512,0.00001518829,0.0000156073,0.9727474,0.00005915177,0.02452981,0.0003336896,0.002041114],"study_design_scores_gemma":[0.000006075263,0.000006640124,0.00008298774,0.000005746871,0.000009188512,0.00000738155,0.00001279573,0.9851131,0.00004479783,0.01440086,0.0003050028,0.00000541699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0465499,0.0007344644,0.9365128,0.001267236,0.0001220183,0.0001434815,0.001060083,0.0001948044,0.01341534],"genre_scores_gemma":[0.886929,0.001308405,0.07417455,0.0002666312,0.0001512918,0.0005423815,0.000959129,0.000166434,0.03550215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01695759,"threshold_uncertainty_score":0.03422415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2319907289797624,"score_gpt":0.3833863458772496,"score_spread":0.1513956168974872,"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."}}