{"id":"W4381716203","doi":"10.1111/exd.14863","title":"Skin microbiome attributes associate with biophysical skin ageing","year":2023,"lang":"en","type":"article","venue":"Experimental Dermatology","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pan Am Clinic","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of General Medical Sciences; National Cancer Institute; National Institute on Aging; National Institutes of Health","keywords":"Microbiome; Metagenomics; Ageing; Shotgun; Biology; Skin Aging; Computational biology; Genetics; Gene; Medicine; Dermatology","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":[0.0006359115,0.0002605337,0.0004105774,0.0004989899,0.0002526835,0.0007918846,0.0001294336,0.0003259174,0.001972768],"category_scores_gemma":[0.002919025,0.0001315702,0.0005439682,0.0006827807,0.0002884507,0.0004869776,0.0006762278,0.000516018,0.0003030268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001842325,"about_ca_system_score_gemma":0.0001497718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009181699,"about_ca_topic_score_gemma":0.001628395,"domain_scores_codex":[0.9995751,0.0001338915,0.00003531222,0.0001467279,0.00005627625,0.00005283802],"domain_scores_gemma":[0.9987349,0.0004121805,0.0004352059,0.0001907171,0.0001103545,0.0001167067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006047107,0.00005720731,0.9380135,0.0002620375,0.0005667042,0.000135192,0.0002620907,0.001151324,0.03517488,0.0004312434,0.0006520607,0.02268907],"study_design_scores_gemma":[0.000003988114,0.00006866293,0.9926853,0.00003025942,0.0001154233,0.0003798491,0.0001845001,0.001656097,0.002381392,0.0008753455,0.001602594,0.0000164608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990261,0.001988379,0.00386654,0.0001251722,0.00002273275,0.00001360147,0.00277772,0.00003272916,0.0009119879],"genre_scores_gemma":[0.9967515,0.0003254754,0.001388092,0.00004313458,0.00001235122,0.000009379372,0.00124614,0.00001336257,0.0002104477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001972768,"threshold_uncertainty_score":0.006599545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373072421772157,"score_gpt":0.2856987285784055,"score_spread":0.2719680043606839,"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."}}