{"id":"W3143615078","doi":"10.3389/fcimb.2021.622550","title":"Comparison of Two Approaches for the Metataxonomic Analysis of the Human Milk Microbiome","year":2021,"lang":"en","type":"article","venue":"Frontiers in Cellular and Infection Microbiology","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"University of California, San Diego; Medical Research Council; Egerton University; University of Ghana; Hawassa University; National Science Foundation; Ministerio de Economía y Competitividad; Universidad Complutense de Madrid; European Commission; Agencia Estatal de Investigación; Washington State University","keywords":"Microbiome; Biology; Human microbiome; Metagenomics; Human Microbiome Project; Population; Context (archaeology); Amplicon sequencing; Genetics; 16S ribosomal RNA; Environmental health; Medicine; Bacteria; Gene","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":[0.02030525,0.001330444,0.001957923,0.004034443,0.000813879,0.003242144,0.002074756,0.001827291,0.003803253],"category_scores_gemma":[0.03634278,0.0007473952,0.002652115,0.002912374,0.0007949364,0.001180664,0.0031471,0.001745998,0.001694414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009193386,"about_ca_system_score_gemma":0.002085674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772627,"about_ca_topic_score_gemma":0.004751171,"domain_scores_codex":[0.9749649,0.01308219,0.001710946,0.002726715,0.006824901,0.0006902481],"domain_scores_gemma":[0.9835369,0.006149042,0.002546114,0.002306654,0.004861559,0.0005997336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03320814,0.002228981,0.1937149,0.0145731,0.01509509,0.0005196722,0.003940139,0.00395211,0.2285154,0.003513447,0.008430585,0.4923085],"study_design_scores_gemma":[0.00280702,0.02125483,0.7008668,0.004073777,0.01076366,0.003815737,0.004664355,0.02278367,0.1361369,0.006926347,0.08485168,0.001055179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5933951,0.05083655,0.3043496,0.002693209,0.00248082,0.01044764,0.02173878,0.001549759,0.01250869],"genre_scores_gemma":[0.4545804,0.01268309,0.4967456,0.00174248,0.0004992755,0.01286165,0.01663464,0.0007640901,0.003488722],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02030525,"threshold_uncertainty_score":0.1073858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05110727236562492,"score_gpt":0.3122288645290145,"score_spread":0.2611215921633896,"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."}}