{"id":"W2078906632","doi":"10.12703/p6-51","title":"Microbiome analysis – from technical advances to biological relevance","year":2014,"lang":"en","type":"review","venue":"F1000Prime Reports","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; Crohn's and Colitis Foundation of Canada; Crohn's and Colitis Foundation","keywords":"Microbiome; Biology; Gut microbiome; Function (biology); Human microbiome; Computational biology; Relevance (law); Taxon; Evolutionary biology; Ecology; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003790813,0.001650851,0.003005404,0.005319416,0.0004309537,0.003107233,0.002400714,0.002855245,0.003441339],"category_scores_gemma":[0.005053557,0.000732592,0.001032541,0.003834179,0.0024354,0.004304918,0.002411581,0.004956466,0.003999592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155767,"about_ca_system_score_gemma":0.001970528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001594558,"about_ca_topic_score_gemma":0.001639392,"domain_scores_codex":[0.9984486,0.0003503639,0.0001494484,0.0003113869,0.000635876,0.0001043033],"domain_scores_gemma":[0.9967911,0.001845113,0.0002413298,0.0001802392,0.0007339774,0.0002082469],"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":[0.00005670125,0.00003235525,0.0003840063,0.01260427,0.0001356138,0.0002098073,0.00009252628,0.0003488199,0.002741441,0.00770144,0.04257702,0.933116],"study_design_scores_gemma":[0.000008090949,0.00003802438,0.0009922058,0.00440392,0.00006861531,0.001233962,0.0001018106,0.000126448,0.001042701,0.007447381,0.9844959,0.00004108688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004647257,0.9974457,0.0005566008,0.0009061237,0.0004698331,0.000003700355,0.00002003405,0.00001297825,0.0005385223],"genre_scores_gemma":[0.0003764341,0.9976139,0.0006930427,0.0003817412,0.0005243121,0.000005908363,0.00003423181,0.00000587982,0.0003645248],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005319416,"threshold_uncertainty_score":0.02004796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126965774139623,"score_gpt":0.3489032210461504,"score_spread":0.3276335633047542,"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."}}