{"id":"W4386560644","doi":"10.2196/50798","title":"Effectiveness of Interventions to Improve Digital Health Literacy in Forced Migrant Populations: Protocol for a Mixed Methods Systematic Review","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Health literacy; Psychological intervention; eHealth; Health equity; Digital health; mHealth; Protocol (science); Psychology; Medical education; Medicine; Health care; Nursing; Public health; Political science; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1052997,0.006439691,0.02024291,0.01120153,0.005130194,0.008077049,0.005598517,0.00964113,0.06851445],"category_scores_gemma":[0.1294003,0.006084574,0.0253577,0.01121556,0.005142252,0.008573942,0.005517452,0.00771224,0.0100201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01706465,"about_ca_system_score_gemma":0.05976961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005541142,"about_ca_topic_score_gemma":0.0115756,"domain_scores_codex":[0.9454028,0.0238105,0.01775797,0.003606702,0.007020526,0.002401623],"domain_scores_gemma":[0.9441854,0.02273804,0.0106891,0.00558735,0.0146296,0.002170446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.01748797,0.0008584147,0.0008353756,0.8817425,0.006014213,0.0006170756,0.002123196,0.001532483,0.001652198,0.006377222,0.0253135,0.05544583],"study_design_scores_gemma":[0.1119034,0.006107016,0.006834696,0.6233029,0.03065605,0.0005668132,0.00272991,0.002826627,0.004886372,0.01601764,0.1933327,0.0008358999],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0001808708,0.0007253455,0.0008993618,0.0001535184,0.000140326,0.9963672,0.001258884,0.00005212374,0.0002223521],"genre_scores_gemma":[0.0001772195,0.0003036409,0.001721998,0.0000705496,0.000008352446,0.9975092,0.0001312073,0.000003062343,0.00007478724],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1052997,"threshold_uncertainty_score":0.5568846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5078162482645162,"score_gpt":0.7539791577237321,"score_spread":0.2461629094592159,"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."}}