{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007049797,0.0001071067,0.0002802122,0.0002405747,0.0008933487,0.000008542467,0.0003430028,0.00006798149,0.0000566588],"category_scores_gemma":[0.001218148,0.00005403474,0.0000254093,0.001479288,0.0003654232,0.000365126,0.0003565514,0.0006679407,1.296278e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006743158,"about_ca_system_score_gemma":0.0002144648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004133051,"about_ca_topic_score_gemma":0.0004413866,"domain_scores_codex":[0.9950958,0.002550586,0.001675327,0.0001500021,0.0003442394,0.0001839918],"domain_scores_gemma":[0.9949347,0.00271512,0.001546644,0.000483885,0.0002868076,0.00003281075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002137458,0.000100716,0.967805,0.0005507928,0.00001184508,5.19088e-8,0.02214703,0.0005927761,0.00005510177,0.002888269,0.00004451573,0.005590164],"study_design_scores_gemma":[0.001033168,0.00006055429,0.9071782,0.0001246632,0.00001674991,5.655705e-7,0.05197315,0.03520078,0.00003282558,0.000707168,0.003606848,0.00006536605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939827,0.0000824838,0.001138658,0.002887213,0.00008734278,0.0009798069,0.0006159701,0.00001798569,0.0002078751],"genre_scores_gemma":[0.9983563,0.0001514132,0.000258478,0.0008669531,0.00001152425,0.00003779833,0.0003033126,0.000006069844,0.000008121902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06062683,"threshold_uncertainty_score":0.6871006,"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."}}