{"id":"W4387755204","doi":"10.2196/47043","title":"Quality of Digital Health Interventions Across Different Health Care Domains: Secondary Data Analysis Study","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department for the Economy","keywords":"Psychological intervention; Medicine; Health care; mHealth; Digital health; Quality assurance; Wilcoxon signed-rank test; Family medicine; Nursing; Mann–Whitney U test; Internal 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02999053,0.0005429242,0.002199309,0.006391287,0.001009388,0.001676463,0.001291011,0.0008260282,0.005651788],"category_scores_gemma":[0.07497858,0.0005344182,0.003691031,0.009028018,0.001625877,0.001735073,0.002763099,0.001221442,0.0009191893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003162269,"about_ca_system_score_gemma":0.004816726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005119259,"about_ca_topic_score_gemma":0.005565125,"domain_scores_codex":[0.9550801,0.02024395,0.01029253,0.004345526,0.008295848,0.001741939],"domain_scores_gemma":[0.8829245,0.04946403,0.0418822,0.007431742,0.01564171,0.002655855],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001995047,0.00138389,0.9673465,0.003195646,0.001900669,0.00009613244,0.003138991,0.0002305141,0.0002164224,0.0002583514,0.001814049,0.01842359],"study_design_scores_gemma":[0.0004819322,0.003191947,0.9865338,0.000866423,0.0009569287,0.0001480756,0.003266359,0.0006718623,0.0004663583,0.0001982476,0.003173317,0.00004482458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706388,0.001326624,0.003126912,0.0002881098,0.00004668283,0.007756901,0.01354853,0.00005445075,0.003213069],"genre_scores_gemma":[0.974243,0.0003884867,0.003544661,0.0003691744,0.00005569282,0.01468409,0.006104291,0.00003192919,0.0005787256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9700094,"threshold_uncertainty_score":0.1586069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2388104073660708,"score_gpt":0.5873362060666636,"score_spread":0.3485257987005929,"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."}}