{"id":"W4384823381","doi":"10.2196/preprints.50798","title":"Effectiveness of Interventions to Improve Digital Health Literacy in Forced Migrant Populations: Protocol for a Mixed Methods Systematic Review (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Literature Analysis and Criticism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Psychological intervention; Health literacy; eHealth; Health equity; Digital health; mHealth; Preprint; Protocol (science); Checklist; Psychology; Medicine; Political science; Health care; Computer science; Nursing; Public health; World Wide Web; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0902435,0.005380912,0.01951006,0.0111872,0.00445711,0.008722885,0.005270346,0.009104822,0.09359708],"category_scores_gemma":[0.1393765,0.006379365,0.02282451,0.01248602,0.004288916,0.0089174,0.005642262,0.007173798,0.01167988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01754505,"about_ca_system_score_gemma":0.06221709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006662279,"about_ca_topic_score_gemma":0.01337418,"domain_scores_codex":[0.9503148,0.02233981,0.01561492,0.003194462,0.006014935,0.002521077],"domain_scores_gemma":[0.948889,0.02211151,0.009826086,0.004843142,0.01245364,0.001876582],"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":[0.01268682,0.0006404414,0.0006780191,0.8945147,0.004604997,0.000480092,0.00204277,0.001116114,0.001235521,0.006110578,0.03132409,0.04456585],"study_design_scores_gemma":[0.09354161,0.004534971,0.006369897,0.6587154,0.02217356,0.0004304741,0.002847569,0.001875692,0.003761847,0.01334808,0.1916992,0.000701725],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002049659,0.0008819919,0.0007170127,0.000215378,0.0002067866,0.9956127,0.00184767,0.00005040676,0.0002631398],"genre_scores_gemma":[0.0002016904,0.0003232882,0.001271277,0.0001016709,0.00001071153,0.997846,0.0001467606,0.000003187049,0.00009531913],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.09359708,"threshold_uncertainty_score":0.477259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07854787850093516,"score_gpt":0.5107695070772087,"score_spread":0.4322216285762736,"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."}}