{"id":"W4389689680","doi":"10.2196/52995","title":"Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (HONcode): Model Development and Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; The Quebec Population Health Research Network","funders":"Institut de Valorisation des Données","keywords":"Computer science; Information retrieval; Web page; Credibility; Random forest; Support vector machine; Confidentiality; Artificial intelligence; Machine learning; World Wide Web; Natural language processing; Data mining; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01262178,0.001134038,0.0009586849,0.002817465,0.0006041777,0.002307044,0.001378562,0.001483542,0.00220536],"category_scores_gemma":[0.03328957,0.0003975127,0.001513322,0.001211252,0.0007773771,0.001514561,0.001417574,0.001848653,0.0005988189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003251065,"about_ca_system_score_gemma":0.002310729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02808131,"about_ca_topic_score_gemma":0.01301282,"domain_scores_codex":[0.9971998,0.001610086,0.0001538081,0.0004715703,0.0003804008,0.0001844001],"domain_scores_gemma":[0.9520942,0.04066805,0.001439645,0.001150948,0.004336572,0.0003105728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001252414,0.0009121198,0.05195427,0.000482047,0.0003834479,0.0002388769,0.0004769556,0.8235175,0.001247764,0.002494911,0.001851841,0.1151878],"study_design_scores_gemma":[0.000009163779,0.00006227187,0.002089169,0.00002806096,0.00002521413,0.00001570046,0.00003571334,0.9968772,0.0002873272,0.0004505005,0.0001126104,0.000007141361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8434886,0.001007145,0.1474655,0.0006404,0.00008618728,0.0007700511,0.001226904,0.00112716,0.004188107],"genre_scores_gemma":[0.9668468,0.0001352045,0.03081592,0.00004939422,0.00001585109,0.0003113052,0.001125276,0.00002957226,0.0006706764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02808131,"threshold_uncertainty_score":0.06675112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3526044425607336,"score_gpt":0.6020069920823109,"score_spread":0.2494025495215773,"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."}}