{"id":"W2999028427","doi":"10.15695/amqst.v15i1.4761","title":"Veronika Nagy, 'Crime Prevention, Migration Control and Surveillance Practices'","year":2019,"lang":"en","type":"article","venue":"AmeriQuests","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Criminology; Control (management); Crime prevention; Political science; Sociology; Computer science; Artificial intelligence","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":[0.002982052,0.0005055997,0.0003566888,0.001863324,0.002626631,0.003913128,0.001499732,0.003842699,0.006830939],"category_scores_gemma":[0.02089384,0.0003932591,0.0002945937,0.002904384,0.001292778,0.003109054,0.001322787,0.003695791,0.001717017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282672,"about_ca_system_score_gemma":0.004042032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09346763,"about_ca_topic_score_gemma":0.1288539,"domain_scores_codex":[0.9978366,0.0007817699,0.0002141699,0.0002351729,0.0007415082,0.0001907326],"domain_scores_gemma":[0.9868265,0.01044159,0.0004715146,0.0001513149,0.001834102,0.000274929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005988795,0.00007741183,0.00378298,0.0005869683,0.000048446,0.0002919908,0.005361252,0.000444624,0.0003287268,0.08034926,0.830641,0.07802756],"study_design_scores_gemma":[0.00008703752,0.00007157122,0.04996111,0.001303388,0.0001166928,0.0002537318,0.00956955,0.001413682,0.001500923,0.05407337,0.8814669,0.0001819349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01221281,0.1054194,0.006933401,0.7989655,0.03589662,0.0001115534,0.001672756,0.0002150422,0.0385729],"genre_scores_gemma":[0.2511604,0.1974709,0.0149042,0.2189057,0.0297846,0.0007756208,0.001905176,0.0005216084,0.2845718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09346763,"threshold_uncertainty_score":0.1858472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185403334714238,"score_gpt":0.338425335792272,"score_spread":0.3165713024451297,"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."}}