{"id":"W3162013946","doi":"10.21810/jicw.v3i3.2769","title":"Policing in the 21st Century","year":2021,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Law enforcement; Social media; Political science; Big data; Period (music); Enforcement; Criminology; Panel discussion; Law; Sociology; Public administration; Media studies; Business; Advertising; Computer science; Medicine; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007383658,0.00008105753,0.0001321666,0.00004510343,0.0001636273,0.00008726411,0.0006424361,0.00002030731,0.00001587018],"category_scores_gemma":[0.00007081139,0.00003969475,0.00005106501,0.0002703195,0.00006373593,0.0001811831,0.0001666589,0.0002235048,0.000004011674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001312616,"about_ca_system_score_gemma":0.00004265683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001638081,"about_ca_topic_score_gemma":0.00008019565,"domain_scores_codex":[0.9991438,0.0001157923,0.0002933836,0.00006821733,0.000221182,0.0001576142],"domain_scores_gemma":[0.9992341,0.000272235,0.0001045849,0.0002216488,0.000137588,0.00002989034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004540147,0.000135135,0.003992328,0.00004700075,0.0001409759,0.0002000474,0.187193,0.0004409684,0.001504568,0.4546458,0.001952956,0.3497018],"study_design_scores_gemma":[0.0008867477,0.0008494654,0.05664093,0.0008898916,0.0001711853,0.004512819,0.2202734,0.002826691,0.05235383,0.009995105,0.649756,0.0008439376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6993631,0.09606974,0.08007974,0.05788676,0.001891226,0.0004912625,0.000004236232,0.00004661436,0.06416739],"genre_scores_gemma":[0.9804127,0.0173063,0.000141392,0.001970483,0.00008747388,5.818909e-7,1.515044e-7,0.000002377736,0.00007856524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6478031,"threshold_uncertainty_score":0.1618705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753388999286773,"score_gpt":0.2914822308378844,"score_spread":0.2539483408450167,"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."}}