{"id":"W2782067679","doi":"10.35502/jcswb.56","title":"Law enforcement and public health: finding common ground and global solutions to disparities in health and access to criminal justice","year":2017,"lang":"en","type":"article","venue":"Journal of Community Safety and Well-Being","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminal justice; Law enforcement; Public health; Enforcement; Criminology; Common ground; Political science; Economic Justice; Health equity; Law; Sociology; Medicine; Health care","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":[0.007135418,0.0003574904,0.0007623659,0.003912448,0.003479475,0.01014451,0.0009691225,0.003371842,0.01069135],"category_scores_gemma":[0.0140184,0.0003357116,0.0007033411,0.005851489,0.008666751,0.01112502,0.00786734,0.004713946,0.0003450988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003181515,"about_ca_system_score_gemma":0.009892649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02508563,"about_ca_topic_score_gemma":0.05581737,"domain_scores_codex":[0.9949849,0.002317029,0.000283435,0.0005992828,0.0006312965,0.001184043],"domain_scores_gemma":[0.9880685,0.004680014,0.002886747,0.001008146,0.001337824,0.002018774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00020025,0.0006972034,0.4429933,0.001069963,0.00049735,0.0004877033,0.02359005,0.0004222379,0.0003015265,0.2481591,0.04577031,0.2358109],"study_design_scores_gemma":[0.00008631039,0.0002775162,0.4898244,0.005896507,0.0004887449,0.0004207666,0.1326899,0.0008664412,0.0004200798,0.255851,0.1130617,0.0001166373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2695445,0.05500603,0.001276462,0.6341857,0.002253931,0.00004536203,0.0006545256,0.00003538588,0.03699814],"genre_scores_gemma":[0.9543613,0.0174645,0.0006592035,0.0234384,0.001810781,0.00004117123,0.0002326262,0.00001742119,0.001974558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02508563,"threshold_uncertainty_score":0.04987925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199618446064606,"score_gpt":0.3863848525247423,"score_spread":0.2664230079182817,"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."}}