{"id":"W3115209213","doi":"10.2196/23654","title":"Income-Generating Processes of Free Web-Based Digital Health Tools to Engage Patients: Qualitative Analysis","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Thematic analysis; Digital health; Computer science; The Internet; Health care; Social media; World Wide Web; Health informatics; Knowledge management; Data science; Internet privacy; Qualitative research; Sociology","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":[0.03279578,0.0005708179,0.0007527866,0.003817633,0.006073963,0.005194345,0.002287316,0.001541152,0.003981201],"category_scores_gemma":[0.04987713,0.0006561561,0.0006788513,0.004179709,0.008963373,0.005652729,0.007427142,0.002507045,0.0004877548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016792,"about_ca_system_score_gemma":0.008338743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005704755,"about_ca_topic_score_gemma":0.007019629,"domain_scores_codex":[0.9729656,0.02148088,0.0007393045,0.0007830939,0.001900282,0.002130742],"domain_scores_gemma":[0.9423792,0.04925098,0.002233052,0.001175679,0.003588423,0.001372681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004416269,0.00005336724,0.002046173,0.0002806157,0.000004968118,0.000287135,0.9841582,0.000105618,0.0005169874,0.004444393,0.0006973924,0.007361129],"study_design_scores_gemma":[0.000009421691,0.00003629624,0.001309128,0.0002894124,0.000004836356,0.00008215727,0.9882785,0.0002958456,0.0004798207,0.001545186,0.007654929,0.00001436762],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665951,0.0004975341,0.01448731,0.004482832,0.00006870729,0.002284927,0.001026202,0.00004517241,0.01051224],"genre_scores_gemma":[0.9832523,0.000589584,0.009164319,0.0008684529,0.00001901629,0.002905066,0.0003096728,0.00005279609,0.002838942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03279578,"threshold_uncertainty_score":0.1734427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2114637751088551,"score_gpt":0.5567905300542046,"score_spread":0.3453267549453496,"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."}}