{"id":"W4404663396","doi":"10.1101/2024.11.23.625008","title":"Yanomami skin microbiome complexity challenges prevailing concepts of healthy skin.","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microbiome; Skin Aging; Medicine; Biology; Dermatology; Bioinformatics","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":[0.0004827945,0.0003481653,0.0004956297,0.0004142424,0.001323069,0.001267308,0.0002613221,0.0003790765,0.002034177],"category_scores_gemma":[0.0003616187,0.0001797842,0.000251494,0.0006396503,0.0007181444,0.0008533339,0.001070587,0.0007671125,0.0003364044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006873485,"about_ca_system_score_gemma":0.001538905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005890058,"about_ca_topic_score_gemma":0.01376491,"domain_scores_codex":[0.9997534,0.00003964663,0.00001160709,0.00008806231,0.00005927167,0.00004813531],"domain_scores_gemma":[0.9997711,0.00002750994,0.00005120066,0.00003646991,0.00005427299,0.00005953354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009220471,0.00009513985,0.1812647,0.001769071,0.0003194885,0.002300919,0.006226881,0.0007389779,0.6988485,0.00613256,0.002880526,0.09850113],"study_design_scores_gemma":[0.00002642041,0.0004692376,0.8092714,0.0003358702,0.0002695932,0.004614687,0.01225634,0.001904196,0.05426112,0.00700736,0.1094802,0.0001035102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959489,0.007857981,0.01503822,0.00192281,0.0003218809,0.00007488857,0.001938113,0.0001786499,0.01317852],"genre_scores_gemma":[0.9801939,0.003522922,0.01027964,0.0004944794,0.00007722539,0.00008635622,0.001271679,0.00004607963,0.004027703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005890058,"threshold_uncertainty_score":0.0117116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372761391115849,"score_gpt":0.2888583213093265,"score_spread":0.2551307073981681,"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."}}