{"id":"W3206429048","doi":"10.2196/29764","title":"Digital Health Literacy in Bipolar Disorder: International Web-Based Survey","year":2021,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Core Research for Evolutional Science and Technology; Canadian Institutes of Health Research","keywords":"Health literacy; Mental health; Digital literacy; Literacy; Psychological intervention; Context (archaeology); Psychology; Digital health; Scale (ratio); Population; Medical education; Medicine; Gerontology; Health care; Psychiatry; Environmental health; Pedagogy; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000750522,0.0002676083,0.0004148342,0.0003219179,0.0001835279,0.000183466,0.0003229539,0.00008728424,0.001172257],"category_scores_gemma":[0.00003634454,0.0003013709,0.0001628841,0.0006740902,0.00007608889,0.0005014784,0.0001446969,0.0003825067,0.0008161989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215411,"about_ca_system_score_gemma":0.0008064336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120165,"about_ca_topic_score_gemma":0.005878667,"domain_scores_codex":[0.9962923,0.0005783738,0.001164444,0.0006703124,0.0004307255,0.0008638343],"domain_scores_gemma":[0.9984928,0.0001539874,0.00033647,0.000456787,0.00007925435,0.0004807529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002444325,0.004925063,0.2769648,0.0002092247,0.00003057766,0.00003743044,0.0009705917,0.000001896362,0.00000176729,0.001305707,0.01947757,0.6958309],"study_design_scores_gemma":[0.003596674,0.0008900439,0.6033226,0.0005200767,7.50982e-7,0.00005736797,0.0004753751,0.0002223601,0.00001075427,0.000150617,0.3904774,0.0002759352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8509104,0.01536821,0.000351948,0.08573785,0.01276046,0.003274141,0.01401017,0.0004527707,0.01713401],"genre_scores_gemma":[0.9801545,0.00005891573,0.0002404116,0.006516418,0.00008700516,0.0002230892,0.005108957,0.00005723577,0.007553477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.695555,"threshold_uncertainty_score":0.9999618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821789544613964,"score_gpt":0.4220751820003409,"score_spread":0.3938572865542013,"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."}}