{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008247096,0.0001743589,0.0004229418,0.001300532,0.0003145412,0.0003900668,0.0008984102,0.0003866541,0.00697001],"category_scores_gemma":[0.002055051,0.000181705,0.0003606062,0.0002941127,0.0003332875,0.0002639703,0.0002295492,0.0005780949,0.001097135],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003412036,"about_ca_system_score_gemma":0.007832523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009232857,"about_ca_topic_score_gemma":0.006865457,"domain_scores_codex":[0.9956431,0.0003590659,0.0005008408,0.000590783,0.002380278,0.0005258856],"domain_scores_gemma":[0.9961101,0.0006735751,0.000258661,0.000394261,0.002356013,0.0002073686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000804079,0.0001198862,0.001657732,0.0001513964,0.0002138559,0.000003397179,0.001482071,0.00004608293,0.00009268976,0.1715463,0.817421,0.007185203],"study_design_scores_gemma":[0.0002311549,0.0001895694,0.001198749,0.0002719925,0.00001444668,0.000002518266,0.002637588,0.00000899023,0.0000494236,0.02743913,0.9677063,0.0002501119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007337495,0.0006075404,0.000006379688,0.01133632,0.001276708,0.0009366862,0.0003223727,0.00001787493,0.9781586],"genre_scores_gemma":[0.570061,0.0004983993,0.00006341512,0.0000261559,0.00135851,0.0000880118,0.0001706006,0.00003335537,0.4277006],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5627235,"threshold_uncertainty_score":0.9996806,"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."}}