{"id":"W3023531710","doi":"10.2196/16006","title":"Patient-Reported Outcomes in a Nationally Representative Sample of Older Internet Users: Cross-sectional Survey","year":2020,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Health literacy; The Internet; Health Information National Trends Survey; Descriptive statistics; Psychology; Medicine; Bivariate analysis; Health care; Family medicine; Gerontology; Health information; Statistics; Computer science","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":[0.002298597,0.0002548934,0.0004483833,0.001112275,0.0004549239,0.0007061488,0.0004091284,0.0008476073,0.001362147],"category_scores_gemma":[0.005066578,0.0004026817,0.000513789,0.001472034,0.0003596034,0.001046167,0.0007111843,0.0009228587,0.0005160853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003453498,"about_ca_system_score_gemma":0.0003210776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005230997,"about_ca_topic_score_gemma":0.005244881,"domain_scores_codex":[0.9986739,0.0005181963,0.0002235915,0.0001986181,0.0002715614,0.0001142032],"domain_scores_gemma":[0.9959462,0.000893023,0.00191201,0.0003046912,0.0004755144,0.0004686333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002360233,0.00009432319,0.9991212,0.0000105221,0.00002859226,0.00001918911,0.0001155232,0.00001807794,0.000051952,0.000005371352,0.00008791922,0.0004236987],"study_design_scores_gemma":[0.00000398415,0.0001239189,0.9992689,0.00000490381,0.00001277773,0.00008028837,0.0003004385,0.00009199288,0.00002124636,0.000006296706,0.00008236247,0.000002963509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981368,0.00007359025,0.0001144442,0.00004608864,0.000003903832,0.0000502315,0.001268446,0.000004849676,0.0003016009],"genre_scores_gemma":[0.9977612,0.0001164624,0.0002314273,0.0001263497,0.00001006808,0.0001099561,0.001484156,0.000002794236,0.0001574826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005230997,"threshold_uncertainty_score":0.01215625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296470404746772,"score_gpt":0.4993450959694046,"score_spread":0.3696980554947275,"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."}}