{"id":"W6939296193","doi":"10.60692/gvr6f-68v82","title":"The Human Microbiome and Child Growth – First 1000 Days and Beyond","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Microbiome; Human microbiome; Dysbiosis; Child development; Metagenomics; Ecological succession","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":[0.0003594333,0.0002934839,0.0003427934,0.0006002843,0.0003635605,0.001100676,0.0001659804,0.0006286213,0.003039332],"category_scores_gemma":[0.001134803,0.0001030546,0.000209985,0.0006693907,0.0005033109,0.0007406969,0.000876195,0.0009359046,0.000688823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006495013,"about_ca_system_score_gemma":0.0008800174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006489278,"about_ca_topic_score_gemma":0.007984346,"domain_scores_codex":[0.9997807,0.00007014004,0.00001840164,0.0000285513,0.00006023772,0.00004200537],"domain_scores_gemma":[0.9997317,0.00007519042,0.00007613205,0.00001117144,0.0000470746,0.00005869932],"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":[0.0005633545,0.000077754,0.06480256,0.004553875,0.0001394387,0.001779255,0.005300047,0.0003679955,0.008939515,0.03154797,0.05497085,0.8269574],"study_design_scores_gemma":[0.00000698265,0.0002147978,0.2373679,0.004209541,0.00006048408,0.004764884,0.002021932,0.0001076328,0.001474994,0.007002199,0.7427236,0.00004505997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03752755,0.9305021,0.000926318,0.01068169,0.001118772,0.00001725061,0.0009693546,0.0000670615,0.01818991],"genre_scores_gemma":[0.2464578,0.7356692,0.002730043,0.002159333,0.001029603,0.00005630042,0.0008170414,0.00004263325,0.01103805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006489278,"threshold_uncertainty_score":0.01290303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006807370142037586,"score_gpt":0.1897003921269459,"score_spread":0.1828930219849083,"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."}}