{"id":"W4313196631","doi":"10.2196/39891","title":"The Factors Associated With Confidence in Using the Internet to Access Health Information: Cross-sectional Data Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health Information National Trends Survey; Odds ratio; Confidence interval; The Internet; Medicine; Health information; Cross-sectional study; Odds; Health equity; Population; Health care; Environmental health; Public health; Gerontology; Demography; Logistic regression; Nursing; Computer science; Political 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":[0.004499644,0.0002925096,0.0004943487,0.001832707,0.0004968264,0.0008479038,0.0004996581,0.000676789,0.002202303],"category_scores_gemma":[0.00932645,0.0004828865,0.001134829,0.001819204,0.0003351798,0.0008087577,0.0007968104,0.001117285,0.0004094572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003812823,"about_ca_system_score_gemma":0.0005513705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005123398,"about_ca_topic_score_gemma":0.003980509,"domain_scores_codex":[0.9980949,0.0007957546,0.0003460135,0.0002385377,0.0003641924,0.0001606502],"domain_scores_gemma":[0.9902437,0.003961679,0.003443141,0.0006190779,0.001102535,0.0006298097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003171729,0.00008752064,0.9991247,0.000009486854,0.00007527028,0.00001132428,0.00009396832,0.00002983926,0.00002850716,0.000007191007,0.00006331856,0.0004370089],"study_design_scores_gemma":[0.000006301408,0.0002139806,0.9986894,0.00001065713,0.00005285507,0.00008187446,0.0003849649,0.0003774366,0.00004357377,0.00001353162,0.0001210525,0.000004339568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977792,0.0000911682,0.0002795495,0.00003917664,0.000005169993,0.00009270012,0.001390086,0.000005469351,0.0003175374],"genre_scores_gemma":[0.9967123,0.0001099342,0.0006652556,0.0000445131,0.000009217126,0.0002371359,0.002031355,0.00000275373,0.0001875384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005123398,"threshold_uncertainty_score":0.02379668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4298702787131417,"score_gpt":0.6349260558210947,"score_spread":0.205055777107953,"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."}}