{"id":"W4294761929","doi":"10.2196/37712","title":"Proactive, Recovery-Oriented Treatment Navigation to Engage Racially Diverse Veterans in Mental Healthcare (PARTNER-MH), a Peer-Led Patient Navigation Intervention for Racially and Ethnically Minoritized Veterans in Veterans Health Administration Mental Health Services: Protocol for a Mixed Methods Randomized Controlled Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"George Washington University; Health Services Research and Development; U.S. Department of Veterans Affairs","keywords":"Mental health; Intervention (counseling); Ethnically diverse; Mental healthcare; Psychological intervention; Health care; Administration (probate law); Psychology; Medicine; Psychiatry; Population; Political science","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":[0.0140673,0.00299902,0.00440792,0.001977833,0.002841048,0.00272771,0.002632264,0.003211544,0.0388062],"category_scores_gemma":[0.01371587,0.001785087,0.003542751,0.001533005,0.001981553,0.002102018,0.002013739,0.004690447,0.003598686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003506181,"about_ca_system_score_gemma":0.01191582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004048685,"about_ca_topic_score_gemma":0.006572274,"domain_scores_codex":[0.9885424,0.006612486,0.001342078,0.001065311,0.001202441,0.001235158],"domain_scores_gemma":[0.9946159,0.001691512,0.001082525,0.0005353022,0.00109268,0.0009821214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.6846583,0.1446501,0.003182332,0.02498066,0.002843944,0.0003060409,0.002663635,0.00295993,0.003302847,0.004418368,0.01654243,0.1094914],"study_design_scores_gemma":[0.8885723,0.07336561,0.006420053,0.003262591,0.001380979,0.00004033977,0.0007271752,0.001994528,0.001473187,0.002480845,0.02014894,0.0001333293],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.008351222,0.0001922738,0.0008617517,0.00009906303,0.00008967105,0.9888598,0.0007689415,0.00004707529,0.0007302458],"genre_scores_gemma":[0.003750932,0.00009685874,0.001386585,0.00004360019,0.00001037307,0.994471,0.00005706965,0.000002322521,0.0001813581],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.0388062,"threshold_uncertainty_score":0.1298197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4354211752534418,"score_gpt":0.6569595211142659,"score_spread":0.2215383458608242,"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."}}