{"id":"W2593275973","doi":"10.1093/acrefore/9780190264079.013.175","title":"Police Dramas on Television","year":2016,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of Criminology and Criminal Justice","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Drama; Criminal justice; Economic Justice; Order (exchange); Organised crime; Political science; Media studies; Law; Language change; Sociology; Advertising; Criminology; Art; Visual arts; Literature; Business","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":[0.0002737924,0.0005694162,0.0002153416,0.001902803,0.003765525,0.003494893,0.0005108302,0.001081057,0.06207196],"category_scores_gemma":[0.002357516,0.0002500573,0.0002500456,0.001846374,0.001443062,0.002021735,0.003009208,0.001951177,0.007991589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177965,"about_ca_system_score_gemma":0.000424085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004563271,"about_ca_topic_score_gemma":0.006650122,"domain_scores_codex":[0.9993294,0.0002337048,0.0000139445,0.0000616113,0.0001875142,0.0001737913],"domain_scores_gemma":[0.9993332,0.0002680426,0.00008329268,0.00005941725,0.000120354,0.0001357024],"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":[0.0003016731,0.0001538967,0.004209111,0.0005203593,0.00004968972,0.003584431,0.06367892,0.0008254409,0.004840449,0.06048998,0.7177136,0.1436324],"study_design_scores_gemma":[0.00001071406,0.00003988792,0.003050064,0.0003445176,0.00001101414,0.001016854,0.0153021,0.0001915997,0.0008215648,0.001696119,0.9774943,0.00002123666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06757895,0.005990951,0.001282107,0.008513445,0.003234111,0.00006336153,0.001390741,0.0005123618,0.9114339],"genre_scores_gemma":[0.7622679,0.008187867,0.001004518,0.004304358,0.003469197,0.00009624846,0.001632451,0.0004795833,0.2185578],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06207196,"threshold_uncertainty_score":0.2076514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556092454367085,"score_gpt":0.4217639014315452,"score_spread":0.2661546559948367,"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."}}