{"id":"W3197660983","doi":"10.3386/w26438","title":"How Do NYPD Officers Respond to Terror Threats?","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Criminology; Police department; Political science; Psychology","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":[0.0008593022,0.0001957001,0.0002015396,0.0007457169,0.0007903784,0.001170057,0.0004081935,0.0005759354,0.003027798],"category_scores_gemma":[0.00860024,0.0001925961,0.0001621944,0.0006840116,0.0003754767,0.0009024927,0.0007480418,0.0006432318,0.001155894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009666953,"about_ca_system_score_gemma":0.0009569351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04531354,"about_ca_topic_score_gemma":0.1012514,"domain_scores_codex":[0.999097,0.0003077746,0.00005074517,0.0001217673,0.0001577712,0.0002649628],"domain_scores_gemma":[0.9971915,0.0004349081,0.001474415,0.0001330354,0.0003051225,0.0004609809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004150791,0.00009039743,0.9824798,0.00001965791,0.00002410247,0.00007427081,0.002106398,0.0001664524,0.0002167825,0.00009776269,0.002408199,0.01227459],"study_design_scores_gemma":[0.000003506288,0.00005579445,0.9884812,0.00002167176,0.000007331136,0.00005647496,0.008182671,0.0003825406,0.0000835091,0.00009204575,0.002627781,0.000005573534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936531,0.00009018342,0.0001351604,0.001833777,0.00003881986,0.00003199746,0.0004702288,0.000005776973,0.003740977],"genre_scores_gemma":[0.9972013,0.0002749653,0.0001570752,0.0002883,0.00004782082,0.00003417858,0.0005328879,0.000004109281,0.001459416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04531354,"threshold_uncertainty_score":0.09009957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.636202727143098,"score_gpt":0.6282703065518299,"score_spread":0.007932420591268086,"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."}}