{"id":"W2896977428","doi":"10.1186/s12911-018-0668-9","title":"The QUEST for quality online health information: validation of a short quantitative tool","year":2018,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's & Women's Health Centre of British Columbia; BC Children's Hospital; BC Research (Canada); University of British Columbia; University of British Columbia Hospital","funders":"Vancouver Coastal Health Research Institute; British Columbia Knowledge Development Fund; Consortium canadien en neurodégénérescence associée au vieillissement; Canadian Institutes of Health Research; AGE-WELL","keywords":"Health informatics; Quality (philosophy); Computer science; Data science; Health information exchange; Health information; Health care; Public health; Medicine; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07087137,0.0006634804,0.0009803612,0.007559785,0.0009638862,0.002084735,0.001267566,0.00092864,0.002886261],"category_scores_gemma":[0.1433197,0.0005291752,0.001985186,0.003885268,0.001590576,0.002252567,0.002938958,0.001394826,0.0006496766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002274813,"about_ca_system_score_gemma":0.005916269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421293,"about_ca_topic_score_gemma":0.00248713,"domain_scores_codex":[0.9486793,0.02419396,0.009674539,0.001740355,0.01469849,0.001013296],"domain_scores_gemma":[0.7729642,0.1461979,0.01845427,0.008933807,0.05017779,0.003272059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002325902,0.005245711,0.498116,0.003739056,0.0005356632,0.0003730088,0.01749174,0.003783192,0.005898281,0.007102496,0.01178064,0.4436083],"study_design_scores_gemma":[0.001177265,0.008378856,0.897559,0.002138795,0.0003801473,0.000817653,0.01001798,0.02406811,0.009821618,0.00673043,0.0385404,0.0003696378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8164845,0.0009314566,0.1019231,0.001505089,0.0003235636,0.05383023,0.006930368,0.0005366395,0.017535],"genre_scores_gemma":[0.6832504,0.0006101677,0.2246896,0.0006140081,0.0001201355,0.0839435,0.004438523,0.0001565215,0.002177152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07087137,"threshold_uncertainty_score":0.3748081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1997120748938356,"score_gpt":0.5753444503108093,"score_spread":0.3756323754169737,"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."}}