{"id":"W3212415690","doi":"10.1111/ctr.14534","title":"Characterization and predictive functional profiles on metagenomic 16S rRNA data of liver transplant recipients: A longitudinal study","year":2021,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Metagenomics; Hypervariable region; Microbiome; 16S ribosomal RNA; Biology; Liver transplantation; Ribosomal RNA; Feces; Medicine; Gene; Transplantation; Computational biology; Genetics; Microbiology; Internal medicine","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":[0.0003774743,0.0001059603,0.0001853604,0.00002858136,0.00006441393,0.00001105581,0.00009225729,0.0001105593,0.00003024238],"category_scores_gemma":[0.00003530179,0.00009864824,0.00004592241,0.00005714578,0.00006654259,0.00001267706,0.00002317734,0.0001084241,0.000003883453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005492301,"about_ca_system_score_gemma":0.00009467141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007227835,"about_ca_topic_score_gemma":0.00006377284,"domain_scores_codex":[0.9986692,0.0002115157,0.0004118904,0.0004952412,0.0001061674,0.0001060063],"domain_scores_gemma":[0.999393,0.00005891613,0.0001180128,0.0002825604,0.00008931525,0.00005818917],"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":[0.002317686,0.001122767,0.3819935,0.0001325847,0.0002603377,0.00002998164,0.0003145075,0.00001216457,0.6113376,0.00004020667,0.00005638376,0.002382255],"study_design_scores_gemma":[0.001376679,0.0009169159,0.9798201,0.00005429938,0.0002111196,0.00002845431,0.00004300366,0.0001120741,0.01713984,0.000004166843,0.0001990003,0.00009437522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838415,0.0001146475,0.01392809,0.00005384946,0.0002096983,0.0003054667,0.001511207,0.00000560143,0.00002993231],"genre_scores_gemma":[0.9848372,0.002816965,0.0003049454,0.00009142172,0.0001629528,0.00001007838,0.01168548,0.00001052676,0.0000804021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5978266,"threshold_uncertainty_score":0.4022758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330403326655124,"score_gpt":0.368368783150241,"score_spread":0.2353284504847285,"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."}}