{"id":"W7098689377","doi":"","title":"Calgary Police ServiceACKNOWLEDGEMENTS","year":2013,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Focus (optics); Process (computing); Work (physics); Police science; Law enforcement","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006083738,0.001013524,0.001312791,0.005968369,0.004037336,0.004718239,0.00329582,0.001260555,0.3831812],"category_scores_gemma":[0.07021955,0.000589774,0.0004015921,0.009117884,0.001416453,0.002982871,0.003962046,0.003369909,0.08101235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01618808,"about_ca_system_score_gemma":0.02639586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1939672,"about_ca_topic_score_gemma":0.1893476,"domain_scores_codex":[0.9905089,0.00110308,0.000957121,0.0008724298,0.005459337,0.00109915],"domain_scores_gemma":[0.853708,0.01055051,0.004725886,0.006188696,0.1152987,0.009528205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001330945,0.0000595554,0.002056372,0.0001911304,0.00000464584,0.0003417839,0.00221187,0.0005503582,0.0002197096,0.008959718,0.9293686,0.05590318],"study_design_scores_gemma":[0.00002773008,0.00004194727,0.01081833,0.0004847625,0.000008490192,0.0001695076,0.003383408,0.0005449429,0.0005632663,0.003201954,0.9807057,0.00005002041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02921828,0.006854399,0.01435238,0.210183,0.0864329,0.0055061,0.2099463,0.002447165,0.4350594],"genre_scores_gemma":[0.1015096,0.007826533,0.007708692,0.01049733,0.008100912,0.003435025,0.08080749,0.001063537,0.7790509],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6168188,"threshold_uncertainty_score":0.8798172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343726912505341,"score_gpt":0.1982456685611192,"score_spread":0.1648083994360658,"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."}}