{"id":"W2126468077","doi":"10.3389/fgene.2014.00086","title":"Elucidating the interactions between the human gut microbiota and its host through metabolic modeling","year":2014,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Knut och Alice Wallenbergs Stiftelse; Fondation Chalmers; Torsten Söderbergs Stiftelse","keywords":"Gut flora; Microbiome; Biology; Host (biology); Computational biology; Gut microbiome; Human health; Human microbiome; Gut bacteria; Immune system; Bioinformatics; Ecology; Genetics; Immunology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004155326,0.0004069558,0.0008532451,0.00007438933,0.0004156485,0.00008396658,0.0006526954,0.0003625139,0.000003675602],"category_scores_gemma":[0.00004382772,0.0002610048,0.0002324389,0.0001697124,0.0001118737,0.000003878565,0.0003786933,0.0006298292,0.000006005965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003175396,"about_ca_system_score_gemma":0.0001402549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002710712,"about_ca_topic_score_gemma":0.00004682994,"domain_scores_codex":[0.9979405,0.0003519729,0.0006635107,0.0005328886,0.00008744862,0.0004236095],"domain_scores_gemma":[0.9988646,0.00003348797,0.0003115474,0.000676766,0.00005733478,0.00005627653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001768912,0.0001814076,0.001682195,0.01382171,0.002767742,0.000005414201,0.002057218,0.0004538327,0.02790649,0.0004452681,0.05708634,0.8935747],"study_design_scores_gemma":[0.0001329558,0.0000299816,0.000068376,0.0006922593,0.0004510441,0.00001871455,0.00008616107,0.0001689411,0.000130298,0.00003727526,0.9978765,0.0003075004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002009314,0.9908199,0.005410444,0.0001162378,0.0006092143,0.0007650889,0.0000956743,0.000007815859,0.0001663492],"genre_scores_gemma":[0.00308359,0.9927813,0.002348971,0.000201612,0.0008655611,0.00004774393,0.0003386237,0.00007449977,0.0002580526],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9407902,"threshold_uncertainty_score":0.9999842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04863369570064481,"score_gpt":0.3530207261172714,"score_spread":0.3043870304166266,"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."}}