{"id":"W2515760542","doi":"10.2196/ijmr.5822","title":"Adopting Quality Criteria for Websites Providing Medical Information About Rare Diseases","year":2016,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Gottfried Wilhelm Leibniz Universität Hannover; Bundesministerium für Gesundheit","keywords":"Quality (philosophy); Information quality; Certification; European union; Computer science; Table (database); Medicine; World Wide Web; Information retrieval; Business; Information system; Data mining; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05989503,0.0007012495,0.001070378,0.0356717,0.002503016,0.00633724,0.001650175,0.00130183,0.002533867],"category_scores_gemma":[0.1751676,0.0004511955,0.001939177,0.02091797,0.001957231,0.006058346,0.004109235,0.001100705,0.001018813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005543363,"about_ca_system_score_gemma":0.01262115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007377088,"about_ca_topic_score_gemma":0.006951316,"domain_scores_codex":[0.9484966,0.01821064,0.01510901,0.001835102,0.01492463,0.001424078],"domain_scores_gemma":[0.7788842,0.09538981,0.04132946,0.01281067,0.0666108,0.004975119],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004338882,0.0004448814,0.3757279,0.01113051,0.0002569367,0.0009490023,0.02026395,0.002197884,0.005739247,0.0274084,0.02981496,0.5256324],"study_design_scores_gemma":[0.0002346552,0.001101513,0.5425656,0.01759755,0.0009012711,0.003037133,0.04346219,0.01507028,0.01184719,0.03779901,0.3258483,0.0005352759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6220497,0.01273868,0.2384203,0.01235211,0.000871899,0.01712391,0.01325582,0.002699478,0.08048807],"genre_scores_gemma":[0.6144418,0.003162818,0.364621,0.0008917556,0.0001972317,0.00426232,0.009722984,0.0003054901,0.002394436],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.940105,"threshold_uncertainty_score":0.316759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2204137397060534,"score_gpt":0.6425883447698505,"score_spread":0.4221746050637971,"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."}}