{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192459,0.001506267,0.002910829,0.005155273,0.0006494769,0.003099849,0.002019655,0.002838026,0.03010936],"category_scores_gemma":[0.008406425,0.0008977743,0.0009293818,0.009053951,0.001003169,0.003095946,0.001156432,0.003662262,0.01866523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243805,"about_ca_system_score_gemma":0.006189642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00995232,"about_ca_topic_score_gemma":0.02735021,"domain_scores_codex":[0.9988187,0.0001885458,0.0001602055,0.0001282833,0.000631007,0.00007328463],"domain_scores_gemma":[0.9938856,0.002713925,0.000793536,0.00009713288,0.002081175,0.0004285422],"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":[0.00002390136,0.000008620603,0.00006339656,0.003780331,0.00003069516,0.00002298455,0.00003189059,0.00003557361,0.00003297242,0.000565219,0.9237466,0.07165773],"study_design_scores_gemma":[0.00002382261,0.0000228651,0.0007167554,0.009057121,0.00007319108,0.0003405077,0.00005983415,0.00002954199,0.00003374342,0.0009145331,0.9887109,0.00001718669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003444203,0.9820161,0.00006676647,0.008483246,0.006694306,0.00001229869,0.0002047611,0.0000191481,0.002468856],"genre_scores_gemma":[0.0005169883,0.9792931,0.0001614085,0.00526265,0.006123343,0.00003698695,0.0003417858,0.00002037203,0.008243391],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03010936,"threshold_uncertainty_score":0.1007258,"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."}}