{"id":"W4247122047","doi":"10.2196/preprints.29764","title":"Digital Health Literacy in Bipolar Disorder: International Web-Based Survey (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); Health literacy; Literacy; Population; Scale (ratio); Psychology; Mental health; Digital literacy; Medicine; Gerontology; Medical education; Health care; Psychiatry; Political science; Environmental health; Geography; Pedagogy; Cartography","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":[0.001953925,0.0001543378,0.0003189292,0.001734166,0.0003779707,0.0007815209,0.0002862831,0.0005960254,0.006108863],"category_scores_gemma":[0.004698303,0.0002940314,0.000621967,0.00223254,0.0001698279,0.001218618,0.0009308627,0.0009744495,0.002255936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339376,"about_ca_system_score_gemma":0.0004639246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00822243,"about_ca_topic_score_gemma":0.009348089,"domain_scores_codex":[0.9989411,0.0002208938,0.0003353088,0.0001226723,0.0002550245,0.0001248844],"domain_scores_gemma":[0.9960071,0.0007788001,0.001733716,0.0001695222,0.0008207933,0.0004900461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009299214,0.0002408348,0.9817004,0.0002201396,0.00004612295,0.00004763791,0.0007492654,0.0000385636,0.0001492791,0.00005055866,0.007685282,0.008978967],"study_design_scores_gemma":[0.000009141936,0.00005987952,0.9976262,0.00005117133,0.000009519409,0.00005310493,0.0005596642,0.00004183227,0.00002654921,0.00001117879,0.001547771,0.0000038887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9260589,0.0005321433,0.0002720665,0.001276362,0.00005863595,0.001002466,0.06388073,0.00004267952,0.006875941],"genre_scores_gemma":[0.9481055,0.001389208,0.001142175,0.001955862,0.0001015365,0.002492798,0.03949153,0.00002952018,0.005291982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00822243,"threshold_uncertainty_score":0.02043617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04951947604984749,"score_gpt":0.4446039889847949,"score_spread":0.3950845129349474,"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."}}