{"id":"W4221065767","doi":"10.1007/s40264-022-01165-4","title":"Improving the Safety of Medicines via Digital Technology: An Assessment of the Scope and Quality of Risk Minimization Websites in the United States and United Kingdom","year":2022,"lang":"en","type":"article","venue":"Drug Safety","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"AstraZeneca (Canada); Public Health Ontario","funders":"","keywords":"Medicine; eHealth; Usability; Scope (computer science); Quality (philosophy); Patient safety; Alliance; Health care; Computer science","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":[0.01917321,0.000229732,0.0005733633,0.00700776,0.0006800593,0.003099314,0.0005654088,0.000897121,0.0009241866],"category_scores_gemma":[0.07493863,0.000433783,0.0007902944,0.004846511,0.001693973,0.00252501,0.002506968,0.0005552767,0.0001870852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002875214,"about_ca_system_score_gemma":0.002145012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009504944,"about_ca_topic_score_gemma":0.01367988,"domain_scores_codex":[0.9675658,0.008749931,0.009290952,0.0009735867,0.01273647,0.0006832159],"domain_scores_gemma":[0.8527499,0.05891354,0.0515809,0.003024086,0.0305123,0.00321935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007515408,0.000152935,0.9187236,0.001523176,0.0002376279,0.0004173187,0.009131222,0.0002478146,0.001858821,0.0002745576,0.0006416051,0.06603985],"study_design_scores_gemma":[0.00002102363,0.0007109942,0.9911954,0.0005315501,0.0001010405,0.0005930961,0.003602178,0.0003130886,0.000735771,0.00003811316,0.002121251,0.00003639937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916599,0.005179318,0.0003664363,0.0004547304,0.00001021683,0.0001381183,0.0003662539,0.00001332717,0.001811719],"genre_scores_gemma":[0.9961268,0.002211954,0.0009271122,0.0001762338,0.000009735966,0.00005118992,0.0003041341,0.000008168163,0.0001846619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01917321,"threshold_uncertainty_score":0.1013988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615088166061262,"score_gpt":0.4198126456456671,"score_spread":0.3836617639850544,"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."}}