{"id":"W4229458041","doi":"10.2196/36974","title":"Quality Assessment of Digital Health Applications: Protocol for a Scoping Review","year":2022,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gemeinsame Bundesausschuss; Universität Duisburg-Essen","keywords":"mHealth; Quality assurance; Context (archaeology); PsycINFO; Protocol (science); Health care; Digital health; Quality (philosophy); MEDLINE; Computer science; Medicine; Nursing; Psychological intervention; Alternative medicine","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":[0.1615832,0.005869012,0.01331492,0.02027944,0.006380348,0.009203741,0.00615822,0.00932523,0.1023277],"category_scores_gemma":[0.1772676,0.005558295,0.01787347,0.02021613,0.005810322,0.009218303,0.008456946,0.009139342,0.01966559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01541002,"about_ca_system_score_gemma":0.08628918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005360634,"about_ca_topic_score_gemma":0.009138072,"domain_scores_codex":[0.8983475,0.04215644,0.03853931,0.006095673,0.01099972,0.003861445],"domain_scores_gemma":[0.8098601,0.0673954,0.02825864,0.02094859,0.06871884,0.004818543],"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":[0.009758811,0.001183624,0.001493435,0.7320758,0.00218942,0.001215467,0.007390804,0.002348481,0.003267789,0.01135845,0.09410442,0.1336136],"study_design_scores_gemma":[0.02118879,0.002573268,0.006549682,0.4448272,0.003606653,0.0006766987,0.005512482,0.002000872,0.003851568,0.01891132,0.4896332,0.0006682259],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002106896,0.000543681,0.001862002,0.0002824441,0.0002097334,0.9934486,0.002735852,0.00008416978,0.0006228375],"genre_scores_gemma":[0.000184992,0.0003658878,0.004186822,0.00008857943,0.00001683842,0.9945881,0.0003764317,0.000008685542,0.0001837039],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1615832,"threshold_uncertainty_score":0.8545436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8529969504942683,"score_gpt":0.8161125919395935,"score_spread":0.03688435855467476,"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."}}