{"id":"W2346590829","doi":"10.5430/jha.v5n4p55","title":"Chronic disease and use of online health information and online health services","year":2016,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odds; Logistic regression; Medicine; Ordered logit; Health care; Health information; Logit; Empowerment; Health services; Sample (material); Chronic disease; Disease; Odds ratio; Family medicine; Environmental health; Pathology; Computer science; Internal medicine","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":[0.0004166772,0.0001042585,0.0001700706,0.00113958,0.0003376034,0.0007891772,0.0001786094,0.0003758871,0.005422122],"category_scores_gemma":[0.004345141,0.00009990725,0.0002968631,0.0009874329,0.0002521788,0.0004387585,0.0005114124,0.0005006829,0.0002694786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002865075,"about_ca_system_score_gemma":0.000330433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008009724,"about_ca_topic_score_gemma":0.01130569,"domain_scores_codex":[0.9994822,0.0001599813,0.000075101,0.0000508796,0.0001299783,0.0001018991],"domain_scores_gemma":[0.995656,0.001455801,0.002027817,0.00009486427,0.0001873622,0.0005781176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001220118,0.00006737189,0.9980566,0.000007682896,0.0000125279,0.00002787904,0.00008259924,0.00001733036,0.00003067431,0.00002136368,0.00004872969,0.001614899],"study_design_scores_gemma":[0.000001874287,0.000040131,0.999211,0.00001078868,0.000006877368,0.000118238,0.0003018328,0.00009599872,0.00001713241,0.00002006312,0.0001742726,0.000001872814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977251,0.0002961017,0.0000265106,0.0002006974,0.000003963896,0.000006685143,0.0002507443,0.000002026625,0.001488291],"genre_scores_gemma":[0.9993421,0.0001695064,0.00004035289,0.00003214642,0.00001059567,0.000004681631,0.0001511106,5.140066e-7,0.0002489273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008009724,"threshold_uncertainty_score":0.01813877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054695975978412,"score_gpt":0.4133448155909601,"score_spread":0.382797855831176,"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."}}