{"id":"W4405445831","doi":"10.1177/2631309x241308530","title":"Book Review: Big crime and big policing: All about big money? MurrayTonitaKirleyElizabethSchneiderStephen (eds.), (2024). Big crime and big policing: All about big money?Toronto: University of Toronto Press.KuldovaTereza Østbø. (2022). Compliance-industrial complex: The operating system of a pre-crime society. Cham, Switzerland: Palgrave Macmillan.","year":2024,"lang":"en","type":"article","venue":"Journal of White Collar and Corporate Crime","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Big data; Criminology; Too big to fail; Sociology; Economics; Computer science; Keynesian economics; Financial crisis; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002339468,0.0008782229,0.002087583,0.0001348554,0.001172093,0.0005049492,0.0009144331,0.0005272703,0.0000868287],"category_scores_gemma":[0.0001848818,0.0007313339,0.0005583245,0.0004931337,0.001134711,0.0003509091,0.0005326801,0.0008220843,0.000001896541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007293323,"about_ca_system_score_gemma":0.001335268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1456834,"about_ca_topic_score_gemma":0.01402998,"domain_scores_codex":[0.993819,0.0008953062,0.001830444,0.0009089901,0.001435987,0.001110247],"domain_scores_gemma":[0.9945324,0.0004830868,0.00257872,0.0006967776,0.001005674,0.0007033429],"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":[0.005143803,0.001026582,0.01554975,0.02387616,0.01229263,0.000926327,0.2729508,0.0002108605,0.07884223,0.01397584,0.4100055,0.1651996],"study_design_scores_gemma":[0.01105447,0.003692256,0.05170234,0.02214613,0.006767013,0.0008032928,0.06165301,0.002463159,0.003096837,0.000896531,0.8318397,0.003885266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1227411,0.8566576,0.0003050459,0.001535393,0.003794672,0.002323317,0.001083435,0.0001537349,0.01140575],"genre_scores_gemma":[0.7098335,0.2831219,0.0001528184,0.001306263,0.002527765,0.00001004527,0.00002745476,0.0001047891,0.002915527],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5870924,"threshold_uncertainty_score":0.9995137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07558563011401156,"score_gpt":0.2947065868662099,"score_spread":0.2191209567521983,"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."}}