{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003001499,0.00005775299,0.00009589158,0.00006296211,0.0001848444,0.0002433803,0.0001928333,0.00005356407,0.003207546],"category_scores_gemma":[0.00004260278,0.00005942573,0.00004776293,0.00007065639,0.00004192899,0.0003433002,0.00003086116,0.00006949421,0.005628407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174334,"about_ca_system_score_gemma":0.0001146729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003985738,"about_ca_topic_score_gemma":0.00921604,"domain_scores_codex":[0.9994122,0.00005963413,0.00007662192,0.0001779536,0.00004971432,0.0002238526],"domain_scores_gemma":[0.999503,0.00009760992,0.00004903813,0.0002066163,0.00001177395,0.0001319373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003915176,0.000200745,0.07771343,0.00002967077,0.0001637732,0.000003142031,0.5290145,0.0005050832,0.006613543,0.1311568,0.1675317,0.08667608],"study_design_scores_gemma":[0.0001053212,0.00003738203,0.01790646,0.000005305676,0.000005240006,3.472466e-7,0.008881161,0.000008656568,0.00001349566,0.000234304,0.9726969,0.0001054304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7391131,0.000008210869,0.000002459481,0.02656859,0.0003628791,0.000141137,0.000009418252,0.00003066089,0.2337636],"genre_scores_gemma":[0.9088024,0.00002696615,0.0001988908,0.0008782735,0.0002963424,0.000006595159,0.000001377684,0.00000771852,0.08978142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8051652,"threshold_uncertainty_score":0.9977037,"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."}}