{"id":"W4384522532","doi":"10.1530/mah-23-0001","title":"Culturomics as a tool to better understand the human milk microbiota and host–microbiota interactions","year":2023,"lang":"en","type":"article","venue":"Microbiota and Host","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council; HORIZON EUROPE Marie Sklodowska-Curie Actions; Queen's University; Queen's University Belfast; European Commission","keywords":"Human microbiome; Biology; Human gastrointestinal tract; Microbiome; Microorganism; Gut flora; Microbiology; Metagenomics; Bacteria; Immunology; Bioinformatics; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001968807,0.0007947849,0.001162063,0.001775147,0.0004710736,0.002347086,0.001001041,0.00157573,0.002632948],"category_scores_gemma":[0.001461673,0.0003699501,0.0006178478,0.001447708,0.001269192,0.002828352,0.001730332,0.003235878,0.001568408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007695004,"about_ca_system_score_gemma":0.001020743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009993631,"about_ca_topic_score_gemma":0.001373708,"domain_scores_codex":[0.9991241,0.0002133958,0.00005830167,0.000152727,0.0003799726,0.00007159822],"domain_scores_gemma":[0.9992835,0.0002827586,0.0001081128,0.00005659401,0.0001798658,0.00008917168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003625618,0.0001489258,0.003274917,0.01225856,0.0001530447,0.001157661,0.001959632,0.001026363,0.2064764,0.05517028,0.045212,0.6727996],"study_design_scores_gemma":[0.00001721454,0.0002563021,0.00263061,0.001362839,0.00007725646,0.001087364,0.0004168701,0.0007686971,0.03559786,0.006358742,0.9513536,0.00007254432],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01279266,0.9266219,0.03431128,0.007490784,0.003527091,0.0001096852,0.001138524,0.0006619151,0.01334622],"genre_scores_gemma":[0.04672208,0.8871602,0.04765233,0.004262608,0.00217299,0.0002433346,0.00198682,0.0002039885,0.009595621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002632948,"threshold_uncertainty_score":0.01041216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526704485970139,"score_gpt":0.2849493773308463,"score_spread":0.2696823324711449,"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."}}