{"id":"W2903123368","doi":"","title":"Suicide In Law Enforcement: Protecting Those Who Serve","year":2018,"lang":"en","type":"article","venue":"Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Computer security; Business; Law; Enforcement; Internet privacy; Criminology; Political science; Computer science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.005031215,0.001035241,0.0009747918,0.0005372501,0.007375801,0.0009400419,0.002481669,0.0004234758,0.000510245],"category_scores_gemma":[0.003014917,0.0008049222,0.0006624166,0.001773906,0.03438107,0.00214428,0.0007105521,0.002869659,0.002846442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280499,"about_ca_system_score_gemma":0.002565354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03180556,"about_ca_topic_score_gemma":0.02143438,"domain_scores_codex":[0.989343,0.002248369,0.00166305,0.001610886,0.002608591,0.00252608],"domain_scores_gemma":[0.9949427,0.0007490177,0.0006078781,0.001199258,0.001039973,0.001461131],"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":[0.000781644,0.0002613434,0.003204924,0.00005682333,0.0001978954,0.0001545842,0.005611281,0.0003138562,0.001491864,0.9819959,0.003072392,0.002857515],"study_design_scores_gemma":[0.007092185,0.001373517,0.008944204,0.002395672,0.0003249227,0.0002758136,0.004948541,0.002679151,0.004586477,0.6967012,0.2671492,0.003529096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5207611,0.002472556,0.0240325,0.02860137,0.008690123,0.0117191,0.001265697,0.001742603,0.4007149],"genre_scores_gemma":[0.9838971,0.0006365454,0.001066642,0.003362368,0.004899711,0.0002743891,0.0002347344,0.0001154962,0.005512985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.463136,"threshold_uncertainty_score":0.9994402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04385538485045971,"score_gpt":0.317889980942153,"score_spread":0.2740345960916933,"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."}}