{"id":"W2093248327","doi":"10.1016/j.ijmedinf.2006.04.001","title":"Automatic detecting indicators for quality of health information on the Web","year":2006,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Precision and recall; Data mining; Quality (philosophy); Health indicator; The Internet; Information retrieval; Web page; World Wide Web; Health care","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002221797,0.0004810147,0.0007947956,0.008462923,0.0003231871,0.002853185,0.0005476771,0.001003571,0.0015385],"category_scores_gemma":[0.0131176,0.0002755299,0.0004590525,0.003434133,0.0002343348,0.002325906,0.0009359876,0.0007630654,0.0006803877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539652,"about_ca_system_score_gemma":0.0006560523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002598248,"about_ca_topic_score_gemma":0.003468844,"domain_scores_codex":[0.9980093,0.0004689551,0.0002810611,0.0003402331,0.0007234989,0.0001771018],"domain_scores_gemma":[0.9817384,0.01079769,0.00201328,0.0007465908,0.004108884,0.0005950788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001214683,0.0009434515,0.5131173,0.0006522246,0.0002754029,0.0002550785,0.0005595285,0.003033284,0.03102852,0.001676565,0.006912528,0.4403316],"study_design_scores_gemma":[0.0001198212,0.000844116,0.5924029,0.0001655426,0.0005027051,0.0007467887,0.0009529946,0.340772,0.05201346,0.005180831,0.006189753,0.0001089986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166291,0.001041346,0.0681022,0.0004347973,0.00009818268,0.000262518,0.004459937,0.004318677,0.004653339],"genre_scores_gemma":[0.9532537,0.0002391457,0.04180881,0.00004754086,0.00005362149,0.00008055766,0.003525132,0.00007203706,0.0009193707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008462923,"threshold_uncertainty_score":0.0117501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07732757713174632,"score_gpt":0.5045706419700233,"score_spread":0.427243064838277,"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."}}