{"id":"W3217227768","doi":"10.1515/labmed-2021-0131","title":"The neonatal microbiome <i>in utero</i> and beyond: perinatal influences and long-term impacts","year":2021,"lang":"en","type":"article","venue":"Journal of Laboratory Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University; McMaster Children's Hospital","funders":"","keywords":"Microbiome; In utero; Disease; Metagenomics; Human microbiome; Atopy; Biology; Medicine; Bioinformatics; Pregnancy; Immunology; Fetus; Genetics; Pathology; Allergy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004243022,0.00009602785,0.0001740944,0.00004395426,0.00007572992,0.00002299169,0.000086236,0.00007206092,0.000007373993],"category_scores_gemma":[0.0001126169,0.00006030745,0.00001867091,0.0001084555,0.0002298535,0.00001083419,0.0000587945,0.0001599735,3.134354e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001219263,"about_ca_system_score_gemma":0.0002450568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002752409,"about_ca_topic_score_gemma":0.0001031208,"domain_scores_codex":[0.9992728,0.00006982458,0.0002895733,0.000119582,0.00008746238,0.0001607383],"domain_scores_gemma":[0.9993875,0.00002808992,0.0001536053,0.0001116776,0.000191806,0.0001273459],"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":[0.00007684602,0.0000121703,0.04324171,0.00005447767,0.00002748114,0.0003438529,0.0002311224,1.818655e-7,0.9537297,0.0000135209,0.0009250093,0.001343905],"study_design_scores_gemma":[0.004631893,0.001562936,0.743097,0.0004045392,0.0000566577,0.006420521,0.00131382,0.000001035884,0.1656862,0.00002983687,0.0765397,0.0002558054],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393708,0.05780357,0.000006766718,0.002539038,0.0002139495,0.00003616624,0.0000128687,9.241488e-7,0.00001590682],"genre_scores_gemma":[0.9895293,0.008679612,0.00007888609,0.001370336,0.0002821613,4.590218e-7,0.000006947358,0.000007432497,0.00004483826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7880435,"threshold_uncertainty_score":0.2459266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005721837545876024,"score_gpt":0.2752963446505265,"score_spread":0.2695745071046505,"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."}}