{"id":"W3119957577","doi":"10.1093/femsle/fnab001","title":"Capturing the diversity of the human milk microbiota through culture-enriched molecular profiling: a feasibility study","year":2021,"lang":"en","type":"article","venue":"FEMS Microbiology Letters","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University; University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"Family Larsson‐Rosenquist Foundation","keywords":"Bifidobacterium; Food science; Biology; Bacteria; Fractionation; Microbiological culture; Microbiology; Composition (language); Streptococcus; Microbiome; Chemistry; Lactobacillus; Chromatography; Fermentation; Bioinformatics; Genetics","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":[0.001605315,0.0007216446,0.0004655338,0.0005678802,0.0004068644,0.0007086553,0.0005601718,0.0008581958,0.0005732097],"category_scores_gemma":[0.001696521,0.0003099674,0.0004321758,0.0003444728,0.0004420592,0.0005719504,0.001043925,0.0005549515,0.0002942577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693193,"about_ca_system_score_gemma":0.0005479225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006488365,"about_ca_topic_score_gemma":0.0007041533,"domain_scores_codex":[0.9986632,0.0005427765,0.00007012414,0.0002264779,0.0003345266,0.0001629481],"domain_scores_gemma":[0.9991866,0.000232035,0.0001194835,0.0001157667,0.0002217001,0.0001244341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005938757,0.0005376093,0.01078729,0.00009583269,0.00002775391,0.0003194743,0.0001566578,0.0001641996,0.9779052,0.00004601674,0.00008476317,0.0092813],"study_design_scores_gemma":[0.0001886327,0.01744587,0.161951,0.00009581939,0.0003842593,0.005515271,0.001429128,0.007412382,0.7994528,0.0004289923,0.005573154,0.0001226995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772406,0.0008619804,0.02006059,0.0002908409,0.00003119756,0.0006353094,0.0003215446,0.0000566346,0.0005012739],"genre_scores_gemma":[0.9308981,0.00156433,0.06486057,0.0002471432,0.00007717466,0.0006466543,0.0009649484,0.00003734148,0.0007037413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001605315,"threshold_uncertainty_score":0.008489847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234674116580379,"score_gpt":0.2735612546703451,"score_spread":0.2512145135045413,"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."}}