{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001126076,0.0001177551,0.0003209374,0.0001452845,0.0002579297,0.00003013485,0.00007913973,0.0000712864,0.00003729794],"category_scores_gemma":[0.0002427888,0.00007497035,0.00003911198,0.0001080437,0.00006006162,0.005113319,0.00004114762,0.0002470062,0.000003302489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278125,"about_ca_system_score_gemma":0.002560406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000802156,"about_ca_topic_score_gemma":0.00020463,"domain_scores_codex":[0.9965932,0.000250305,0.002544045,0.00008675818,0.0002867492,0.0002389649],"domain_scores_gemma":[0.9952365,0.0002111917,0.003402553,0.000147245,0.0005262029,0.0004763126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001108503,0.00094917,0.6300589,0.01308832,0.0000569528,0.000002422906,0.01772626,0.000006501707,0.00002856601,0.002246227,0.002135452,0.3325928],"study_design_scores_gemma":[0.001588275,0.005747854,0.9727612,0.002267177,0.00001128311,0.000005998643,0.002383238,0.0005820839,0.000007699617,0.0003322464,0.01420464,0.0001082835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972884,0.0006965961,0.00135553,0.0236818,0.0003329628,0.000507659,0.0005204986,0.00001327342,0.00000767298],"genre_scores_gemma":[0.9919905,0.002309146,0.002295441,0.002940217,0.0002871708,0.000002667063,0.0001383306,0.000005715185,0.00003080274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3427023,"threshold_uncertainty_score":0.4542051,"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."}}