{"id":"W3127641471","doi":"10.21810/jicw.v3i3.2530","title":"Data Analytics and Public Safety","year":2021,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Data science; Key (lock); Data analysis; Public security; Big data; Computer security; Business intelligence; Computer science; Business; Knowledge management; Public relations; Political science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00229161,0.00008022041,0.0001996245,0.00008731931,0.0002465614,0.0002766412,0.001655052,0.00005713933,0.0001470728],"category_scores_gemma":[0.003305517,0.0000419686,0.00002923236,0.0005663314,0.0003119891,0.000364675,0.0009647901,0.0002578144,0.00001191676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007296155,"about_ca_system_score_gemma":0.00009158583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009107556,"about_ca_topic_score_gemma":0.00005310079,"domain_scores_codex":[0.9985948,0.00008224196,0.0005738199,0.0001722207,0.0004399505,0.0001369659],"domain_scores_gemma":[0.9968842,0.001023223,0.0003204311,0.001046607,0.0006308333,0.00009466455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003063468,0.00004781006,0.004681579,0.000005623978,0.00006800181,0.00002082883,0.0005487034,0.00002492867,0.0005506873,0.02947019,0.02068129,0.9438697],"study_design_scores_gemma":[0.0000757009,0.00005655549,0.003544116,0.0000246428,0.0000483086,0.0006517804,0.01850796,0.003092604,0.001591348,0.01502055,0.95728,0.0001063761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3341077,0.05840475,0.4185055,0.1845204,0.0005425271,0.000293099,0.001014205,0.00005458575,0.002557294],"genre_scores_gemma":[0.9731147,0.02477263,0.001306304,0.000462117,0.00006151052,2.92616e-7,0.000009216816,0.000004256891,0.0002689507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9437634,"threshold_uncertainty_score":0.3957251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4942806540619339,"score_gpt":0.4249144124178849,"score_spread":0.06936624164404903,"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."}}