{"id":"W2802963881","doi":"10.2196/mental.9777","title":"Expert Consensus Survey on Digital Health Tools for Patients With Serious Mental Illness: Optimizing for User Characteristics and User Support","year":2018,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Digital health; Mental health; Competence (human resources); Health care; Mental illness; Medical education; Rating scale; Categorical variable; Psychology; Psychological intervention; Applied psychology; Nursing; Medicine; Computer science; Psychiatry; Social psychology","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":[0.03621207,0.0002859342,0.0006946569,0.002078023,0.001554661,0.0008170573,0.0008652338,0.001264902,0.002978338],"category_scores_gemma":[0.07388937,0.0002778868,0.001007147,0.001325255,0.0005744967,0.001169201,0.002381614,0.0009444067,0.0006297403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296474,"about_ca_system_score_gemma":0.004138838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845532,"about_ca_topic_score_gemma":0.002763833,"domain_scores_codex":[0.9714825,0.01595318,0.005706728,0.001129379,0.004346228,0.001382033],"domain_scores_gemma":[0.9089615,0.04022767,0.008731806,0.002526488,0.03615024,0.003402337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001238271,0.0009986255,0.734513,0.003263075,0.0002909918,0.0009005475,0.07783201,0.001076508,0.007371473,0.0008930271,0.02384395,0.1477785],"study_design_scores_gemma":[0.0004953452,0.003179435,0.7021164,0.002987853,0.0002643284,0.00234223,0.222486,0.01100132,0.004783777,0.002219923,0.04783113,0.000292202],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749306,0.0004495057,0.007288321,0.003585078,0.000120513,0.004279722,0.00132395,0.00005258281,0.007969669],"genre_scores_gemma":[0.9741693,0.0006604203,0.01667958,0.001665576,0.00007730102,0.004623265,0.00113011,0.00001915459,0.0009752781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03621207,"threshold_uncertainty_score":0.19151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0473231479173029,"score_gpt":0.398667315209072,"score_spread":0.3513441672917691,"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."}}