{"id":"W1991496202","doi":"10.2196/med20.2559","title":"Development of a Questionnaire and Cross-Sectional Survey of Patient eHealth Readiness and eHealth Inequalities","year":2013,"lang":"en","type":"article","venue":"Medicine 2 0","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; The Internet; Digital divide; Cross-sectional study; Inequality; Digital health; Internet privacy; Medicine; Psychology; Nursing; Health care; Computer science; World Wide Web; 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":[0.01235218,0.0002930662,0.0005354719,0.00175011,0.0005010886,0.000587429,0.0004510369,0.0006879399,0.002889793],"category_scores_gemma":[0.01515756,0.0003542602,0.0007696266,0.001095746,0.0004143258,0.0009771028,0.0009046049,0.001250419,0.000884262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008035727,"about_ca_system_score_gemma":0.002116989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111388,"about_ca_topic_score_gemma":0.001897502,"domain_scores_codex":[0.9947869,0.002823917,0.001054913,0.0002694578,0.000716871,0.000347949],"domain_scores_gemma":[0.9874755,0.005240515,0.001682839,0.0007210578,0.003912674,0.0009674541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003844639,0.002898298,0.8873557,0.000423016,0.0001249924,0.0002305513,0.005630615,0.0008713152,0.002892697,0.0005529901,0.005283804,0.0933517],"study_design_scores_gemma":[0.0001900775,0.00443646,0.9772807,0.0001402597,0.00004041159,0.0003275636,0.005312637,0.002459609,0.001043318,0.0003010957,0.008407913,0.00005998693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534295,0.000169413,0.01407367,0.001270146,0.00008726443,0.02088096,0.005708698,0.0001483263,0.004232092],"genre_scores_gemma":[0.8948203,0.0003539686,0.06267325,0.001048,0.00005463987,0.03358008,0.005616912,0.00002354648,0.001829427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235218,"threshold_uncertainty_score":0.06532538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09715227475875601,"score_gpt":0.4670074711286749,"score_spread":0.3698551963699188,"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."}}