{"id":"W2912829248","doi":"10.21810/jicw.v1i3.839","title":"Conflation of Crime and Terror","year":2019,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Conflation; Variety (cybernetics); Navy; Gun violence; Political science; Criminology; Public administration; Computer security; Sociology; Law; Poison control; Computer science; Suicide prevention; Medicine; Medical emergency","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004695911,0.0003777621,0.0004284567,0.003759249,0.01093058,0.01341059,0.001002383,0.002987978,0.01154123],"category_scores_gemma":[0.01524251,0.0002430958,0.0002815247,0.003633476,0.05116208,0.006502233,0.008714386,0.005907736,0.0005629701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03113799,"about_ca_system_score_gemma":0.02127772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3512317,"about_ca_topic_score_gemma":0.3130308,"domain_scores_codex":[0.9912136,0.004357001,0.0001945141,0.0009457075,0.001742873,0.001546285],"domain_scores_gemma":[0.9936852,0.002313777,0.0009390765,0.0006477938,0.001615432,0.0007987313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001498511,0.000005656862,0.001972972,0.0000263094,0.000007283991,0.00008797191,0.02219548,0.0001291035,0.00002307613,0.9522272,0.01260422,0.01070577],"study_design_scores_gemma":[0.00001291324,0.00002165999,0.01336595,0.0006591516,0.00001347102,0.0004289953,0.120253,0.0008677215,0.0002080277,0.4147997,0.4493169,0.00005259286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07272781,0.01010517,0.002532678,0.1302121,0.0009635348,0.00003363013,0.0003066806,0.00003451101,0.7830839],"genre_scores_gemma":[0.9778451,0.002176658,0.0003960461,0.003273429,0.0001984472,0.00002799452,0.00009113995,0.00002203476,0.01596931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6487683,"threshold_uncertainty_score":0.6983746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288498140255019,"score_gpt":0.3147007681732336,"score_spread":0.2818157867706834,"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."}}