{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01295584,0.0008223315,0.0007256285,0.004490207,0.004197029,0.01249456,0.0008996534,0.00535626,0.01634138],"category_scores_gemma":[0.02736658,0.000517357,0.0006469745,0.00440756,0.008799701,0.01812986,0.008072214,0.009229484,0.004285096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005504587,"about_ca_system_score_gemma":0.006564992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004173333,"about_ca_topic_score_gemma":0.003945705,"domain_scores_codex":[0.9893442,0.004392784,0.0004863665,0.001034844,0.003869099,0.000872671],"domain_scores_gemma":[0.9800093,0.01162511,0.001006056,0.001573131,0.003985105,0.001801301],"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":[0.00005695279,0.00004515393,0.00111583,0.0002567481,0.0000400392,0.00006131729,0.0007044448,0.0003497463,0.0002475626,0.4708755,0.3947512,0.1314955],"study_design_scores_gemma":[0.00001090837,0.00003114212,0.0005073345,0.0006127623,0.000008682189,0.00006749844,0.0009132675,0.0005195187,0.0002566259,0.2226804,0.7743668,0.00002508133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002309782,0.1185565,0.01396324,0.7293516,0.01274147,0.00005379254,0.0006143237,0.0003383822,0.122071],"genre_scores_gemma":[0.2486908,0.266088,0.03164008,0.2633681,0.03541073,0.0003643289,0.002048858,0.0005401252,0.151849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01634138,"threshold_uncertainty_score":0.06851786,"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."}}