{"id":"W4403203831","doi":"10.1186/s13059-024-03389-2","title":"Integrated large-scale metagenome assembly and multi-kingdom network analyses identify sex differences in the human nasal microbiome","year":2024,"lang":"en","type":"article","venue":"Genome biology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microbiome; Metagenomics; Biology; Human Microbiome Project; Human microbiome; Evolutionary biology; Computational biology; Genetics; Gene","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":[0.000660394,0.0002487927,0.0003353849,0.0001386605,0.0001976638,0.0001044976,0.0003562911,0.0002911579,0.00004434225],"category_scores_gemma":[0.0000114041,0.0001661067,0.0001043447,0.0002744871,0.0001741785,0.000005083944,0.0001846851,0.0002519973,0.00002435694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002260421,"about_ca_system_score_gemma":0.00007275608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000241945,"about_ca_topic_score_gemma":0.001256732,"domain_scores_codex":[0.9980896,0.0003497188,0.0003494371,0.0006092102,0.00004310774,0.0005589236],"domain_scores_gemma":[0.9995003,0.0000360865,0.00006474161,0.0003030848,0.00003271351,0.00006312302],"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":[0.00001052948,0.00005292553,0.01844387,0.00003347328,0.0001162999,0.000009480237,0.0004107867,0.000003015397,0.9802875,0.0001032007,0.0003073783,0.0002215491],"study_design_scores_gemma":[0.001509543,0.000853539,0.7625831,0.00006435637,0.0001896629,0.0001681949,0.001510401,0.0003247547,0.01035186,0.0004041143,0.2210759,0.0009646328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98332,0.01443198,0.001335803,0.0001906337,0.000250862,0.0002439233,0.000136011,0.0000248684,0.00006592865],"genre_scores_gemma":[0.996692,0.0004897953,0.0008110266,0.0004929631,0.0002762048,0.00002552033,0.00079427,0.00002187319,0.0003963192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9699357,"threshold_uncertainty_score":0.6773635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06413144509248454,"score_gpt":0.3709547250016396,"score_spread":0.3068232799091551,"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."}}