{"id":"W4413111787","doi":"10.1007/s00439-025-02771-9","title":"Mutation-aware formulation: a genomic framework for equitable global dermocosmetics","year":2025,"lang":"en","type":"article","venue":"Human Genetics","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Positive Living Society of British Columbia; University of British Columbia","funders":"","keywords":"Biology; Personalization; Population; Biobank; Interpretability; Genotyping; Personalized medicine; Data science; Computer science; Computational biology; Machine learning; Genetics; Genotype; World Wide Web; Medicine; Environmental health","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":[0.007659504,0.000929489,0.001016554,0.001840925,0.001550878,0.00507319,0.003986075,0.002373967,0.01905671],"category_scores_gemma":[0.03047954,0.0005222273,0.001185899,0.001747873,0.003389943,0.005991363,0.005600386,0.002902397,0.002079676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535127,"about_ca_system_score_gemma":0.004267262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002930403,"about_ca_topic_score_gemma":0.003506651,"domain_scores_codex":[0.993371,0.003971271,0.0002671634,0.0009018289,0.00115888,0.0003299031],"domain_scores_gemma":[0.9902481,0.005809269,0.0005104338,0.001734102,0.001366727,0.0003313028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007343203,0.0001087883,0.001487283,0.0001499154,0.00005255464,0.0004454291,0.0008533003,0.03003886,0.0007761279,0.8591875,0.00814715,0.09867957],"study_design_scores_gemma":[0.00002272666,0.0000305302,0.0002160488,0.00008618837,0.00003837241,0.0001950259,0.0004196221,0.04839604,0.0006018803,0.9235789,0.02639393,0.00002090024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004615034,0.0003706997,0.9523087,0.008569501,0.0002383674,0.0001739553,0.0004347467,0.0006357542,0.03265319],"genre_scores_gemma":[0.2595803,0.0007558865,0.7248112,0.00244031,0.0003637957,0.0004111728,0.001008492,0.0005188537,0.01011005],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01905671,"threshold_uncertainty_score":0.06375104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298221960089858,"score_gpt":0.3603823182421722,"score_spread":0.3305601222331864,"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."}}