{"id":"W2904113885","doi":"10.35502/jcswb.84","title":"Development of the Behavioural-Biomedical Law Enforcement Stress Discordance Model (B2LESD): An epidemiological criminology framework (LEPH2018)","year":2018,"lang":"en","type":"article","venue":"Journal of Community Safety and Well-Being","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Morgan State University","keywords":"Misconduct; Law enforcement; Stressor; Criminology; Psychological intervention; Context (archaeology); Psychology; Applied psychology; Political science; Law; Clinical psychology; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01429188,0.001524691,0.001085708,0.008168405,0.001896371,0.004590498,0.004020814,0.002043765,0.006498624],"category_scores_gemma":[0.01846262,0.0009834662,0.003219727,0.003873873,0.003007139,0.003170904,0.005863245,0.002766059,0.0008461177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005727204,"about_ca_system_score_gemma":0.008889339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02707234,"about_ca_topic_score_gemma":0.01690663,"domain_scores_codex":[0.9935451,0.00403568,0.0005186677,0.0007735112,0.0008119853,0.0003151069],"domain_scores_gemma":[0.9876543,0.008482947,0.001177776,0.0006053141,0.001586745,0.000492988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003491302,0.00089059,0.4426264,0.002184706,0.001063364,0.0009628067,0.02303221,0.008996495,0.0005047148,0.3692032,0.008628474,0.1415579],"study_design_scores_gemma":[0.0004757862,0.0009593508,0.278823,0.004616906,0.00192382,0.002330039,0.02195718,0.1278732,0.0008546753,0.4865115,0.07339189,0.0002826903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2862726,0.01238615,0.5604005,0.04528236,0.001169515,0.009011695,0.01176509,0.0006726281,0.07303954],"genre_scores_gemma":[0.807709,0.003385182,0.172046,0.00192183,0.0001946772,0.006977093,0.002714055,0.0000478454,0.005004321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02707234,"threshold_uncertainty_score":0.07558358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1550736751481769,"score_gpt":0.4418027555056014,"score_spread":0.2867290803574244,"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."}}