{"id":"W4361281642","doi":"10.1186/s40352-023-00221-0","title":"Collateral consequences of COVID-19 for people on probation and parole","year":2023,"lang":"en","type":"article","venue":"Health & Justice","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Carolina Population Center, University of North Carolina at Chapel Hill; Center for AIDS Research, University of North Carolina at Chapel Hill; National Institute on Minority Health and Health Disparities; National Institute of Environmental Health Sciences; National Institute of Allergy and Infectious Diseases; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Drug Abuse; University of North Carolina at Chapel Hill; National Institutes of Health","keywords":"Pandemic; Public health; Coronavirus disease 2019 (COVID-19); Psychology; Quarter (Canadian coin); Phone; Descriptive statistics; Criminology; Medicine; Nursing; Geography; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002900969,0.000243183,0.0003860148,0.0005435114,0.007149945,0.001571153,0.0006330702,0.000802921,0.008820809],"category_scores_gemma":[0.01556742,0.0002505764,0.0003387929,0.0004633273,0.003670549,0.001716549,0.007081842,0.002525688,0.0004845617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230512,"about_ca_system_score_gemma":0.003818241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137773,"about_ca_topic_score_gemma":0.02576906,"domain_scores_codex":[0.9954523,0.002590482,0.0002376003,0.0001710552,0.0005516296,0.0009969223],"domain_scores_gemma":[0.9897057,0.002223132,0.003635519,0.0004207309,0.0009549404,0.00306002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003033614,0.0002966502,0.4450452,0.0009317232,0.0001150543,0.01176634,0.4148037,0.0003437709,0.001578325,0.004687305,0.03071964,0.08940892],"study_design_scores_gemma":[0.00001317075,0.0004288669,0.2551546,0.002135481,0.00004133057,0.006599806,0.6947176,0.0002277561,0.0003859977,0.00234955,0.03786813,0.00007774933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650179,0.001802767,0.0006157279,0.01387416,0.0002489894,0.0000861677,0.0002850489,0.00003888641,0.0180304],"genre_scores_gemma":[0.9968651,0.0008500409,0.0001876856,0.001065605,0.00007093006,0.00004614899,0.0000713364,0.000007517805,0.0008354759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137773,"threshold_uncertainty_score":0.02950853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08012599322061537,"score_gpt":0.4253457661740832,"score_spread":0.3452197729534678,"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."}}