{"id":"W2987777936","doi":"10.1111/ecca.12328","title":"How Do NYPD Officers Respond to Terror Threats?","year":2019,"lang":"en","type":"article","venue":"Economica","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; University of Michigan","keywords":"Police department; Homeland security; Al qaeda; Terrorism; Criminology; Law enforcement; Baseline (sea); Political science; Law; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007845167,0.0001621495,0.0001525589,0.0005891771,0.0008672849,0.001311169,0.0003290727,0.0004984696,0.002914755],"category_scores_gemma":[0.006968463,0.0001717862,0.0001267682,0.0005834561,0.0005506368,0.0009577076,0.0007856524,0.0006129342,0.0006690896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009340606,"about_ca_system_score_gemma":0.0007539568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03982314,"about_ca_topic_score_gemma":0.06809425,"domain_scores_codex":[0.9993004,0.0002245582,0.00003559284,0.00007817974,0.0001371261,0.000224113],"domain_scores_gemma":[0.9974403,0.000397719,0.001366831,0.00009634295,0.000268173,0.000430668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000424875,0.00007344207,0.9717283,0.00002842225,0.00002223501,0.0001100892,0.0134201,0.000113397,0.0003631625,0.000183642,0.001832183,0.01208249],"study_design_scores_gemma":[0.000002177912,0.00004288992,0.9601893,0.00001997012,0.000004256124,0.0000510741,0.03658073,0.0001957839,0.00006763168,0.00008516585,0.002754503,0.000006680834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967793,0.00004229924,0.00006469874,0.000792797,0.00001649345,0.00001204102,0.0001023088,0.000001690626,0.002188537],"genre_scores_gemma":[0.9987185,0.0001354361,0.00006336511,0.0001401405,0.00002018893,0.00001247632,0.000127812,0.000001701479,0.0007803522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03982314,"threshold_uncertainty_score":0.07918268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04914463987761754,"score_gpt":0.3491966598202737,"score_spread":0.3000520199426562,"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."}}