{"id":"W2405973758","doi":"10.2196/ijmr.4749","title":"eHealth Literacy: In the Quest of the Contributing Factors","year":2016,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Piraeus Research Centre","keywords":"eHealth; Literacy; Psychology; Computer science; Political science; Pedagogy","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":[0.001970078,0.0002068279,0.000436038,0.001515428,0.0004459511,0.002295539,0.000363182,0.0006040092,0.003822037],"category_scores_gemma":[0.01383968,0.0001214808,0.0003516254,0.001662743,0.001155965,0.001832513,0.001649255,0.001455763,0.0002811993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008132228,"about_ca_system_score_gemma":0.001549992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00342971,"about_ca_topic_score_gemma":0.002769967,"domain_scores_codex":[0.9985883,0.0005652317,0.0001338032,0.0001556945,0.0002772253,0.0002796958],"domain_scores_gemma":[0.9896441,0.005327249,0.002495717,0.0003247159,0.001051289,0.001156985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000670391,0.0001725309,0.9067581,0.0003915958,0.0001176159,0.0005391688,0.004527587,0.0001410185,0.0001804083,0.005247317,0.002233297,0.07962424],"study_design_scores_gemma":[0.00001029479,0.0001533984,0.9596539,0.001405028,0.0001303279,0.00115318,0.01282821,0.0009349676,0.0002743994,0.009888976,0.01353124,0.0000361742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9067749,0.02113701,0.002293131,0.04704795,0.0002960157,0.00009369115,0.0005822516,0.00003006204,0.0217451],"genre_scores_gemma":[0.9949915,0.002989133,0.0004797935,0.000854081,0.000137472,0.00001763464,0.00009126443,0.000004038397,0.0004351304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003822037,"threshold_uncertainty_score":0.01278597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1523453386308789,"score_gpt":0.6201126964369201,"score_spread":0.4677673578060412,"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."}}