{"id":"W4400786639","doi":"10.1089/derm.2024.0130","title":"Atopic Dermatitis Prescription Patterns in Underrepresented Groups: An All of Us Database Analysis","year":2024,"lang":"en","type":"letter","venue":"Dermatitis","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Atopic dermatitis; Medical prescription; Dermatology; Database; Pharmacology","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":[],"consensus_categories":[],"category_scores_codex":[0.001131674,0.0001946371,0.00045135,0.00162767,0.000567502,0.0009773914,0.0005592728,0.0008690978,0.002207681],"category_scores_gemma":[0.005644605,0.0002884007,0.0007942345,0.00494723,0.0001678344,0.0008666897,0.0008761541,0.0006948595,0.000499017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007626212,"about_ca_system_score_gemma":0.00109472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03628696,"about_ca_topic_score_gemma":0.07236161,"domain_scores_codex":[0.9982831,0.0004615058,0.000395942,0.0002142036,0.0003480215,0.0002972845],"domain_scores_gemma":[0.994626,0.001279929,0.002082714,0.0005430915,0.0009338376,0.0005344636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008786668,0.00004153395,0.994935,0.00001699289,0.00009613525,0.0001655954,0.0001171891,0.00001659679,0.00006544578,0.00002809162,0.002374905,0.002054697],"study_design_scores_gemma":[0.00001897337,0.0000465681,0.9963774,0.00003134161,0.0001220425,0.0004188319,0.0009779916,0.0002606895,0.00006338544,0.00004613091,0.001629354,0.000007226879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815382,0.0004847669,0.0001339799,0.002184953,0.00003351377,0.00004206231,0.01380489,0.00001126979,0.00176649],"genre_scores_gemma":[0.9895577,0.0004603035,0.0003176825,0.002520548,0.00008867283,0.00005854989,0.006116681,0.00001079857,0.0008690497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03628696,"threshold_uncertainty_score":0.07215148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646730564556376,"score_gpt":0.2956431018923855,"score_spread":0.2691757962468217,"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."}}