{"id":"W2409294951","doi":"10.2196/resprot.5122","title":"Consumers’ Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing","year":2016,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Cancer Institute; National Institutes of Health","keywords":"Health literacy; eHealth; Crowdsourcing; Usability; Patient portal; Literacy; Medical education; Information literacy; Psychology; Health information; Medicine; World Wide Web; Internet privacy; Computer science; Health care; Pedagogy; 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":[0.00445894,0.0002050256,0.0004646188,0.001092107,0.000949019,0.0009603694,0.0003040165,0.0008417066,0.003114896],"category_scores_gemma":[0.009051461,0.0002790648,0.000803642,0.001163409,0.0006239678,0.0008477774,0.001158168,0.0008682473,0.0008906993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008862102,"about_ca_system_score_gemma":0.001027373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007446596,"about_ca_topic_score_gemma":0.005438576,"domain_scores_codex":[0.9979184,0.0006887639,0.0002339659,0.0002554122,0.0006513043,0.0002521536],"domain_scores_gemma":[0.9945874,0.002369807,0.0009709257,0.0003845146,0.001138375,0.0005489778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006813557,0.002116698,0.9332803,0.0003023432,0.0001298128,0.0003054946,0.02818922,0.0001859749,0.001747934,0.0001023791,0.001649958,0.03130859],"study_design_scores_gemma":[0.0001129681,0.00153237,0.9749473,0.00007160236,0.00006755973,0.0002706916,0.01762933,0.001275722,0.0006962601,0.0001412131,0.003187169,0.00006782538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981301,0.0000235873,0.0002089968,0.000110026,0.000002850089,0.0002510651,0.000417557,0.000008282015,0.0008474013],"genre_scores_gemma":[0.9977453,0.00007008415,0.0005794097,0.0001983371,0.000009650397,0.0005102388,0.0003524976,0.000005614343,0.0005287732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007446596,"threshold_uncertainty_score":0.02358139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6185833395889063,"score_gpt":0.6869092698479645,"score_spread":0.0683259302590582,"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."}}