{"id":"W4286457005","doi":"10.1038/s41385-022-00548-1","title":"The rise to power of the microbiome: power and sample size calculation for microbiome studies","year":2022,"lang":"en","type":"review","venue":"Mucosal Immunology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; McGill University; Impact; University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Microbiome; Sample size determination; Sample (material); Statistical power; Computer science; Null hypothesis; Statistical hypothesis testing; Data science; Computational biology; Biology; Bioinformatics; Statistics; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004364055,0.0003354426,0.0007851803,0.0000704385,0.0004733969,0.00001992223,0.0005291833,0.0003343686,0.00003144295],"category_scores_gemma":[0.0007556285,0.0002038364,0.0003914909,0.0002232365,0.0003770355,0.000002039251,0.0008679019,0.0002308479,0.000004376754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008326503,"about_ca_system_score_gemma":0.0002681998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003351158,"about_ca_topic_score_gemma":0.00005167523,"domain_scores_codex":[0.9981556,0.000322753,0.0005728593,0.0004765388,0.00005477654,0.0004174749],"domain_scores_gemma":[0.9981558,0.0006168172,0.0003774976,0.0007001846,0.0001140749,0.00003558565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000477174,0.0003014424,0.00004442476,0.00596535,0.004432602,0.000002366374,0.001248599,0.000001201341,0.6741171,0.0005605182,0.06463777,0.2482114],"study_design_scores_gemma":[0.0002891441,0.0004169857,0.00009521693,0.0001779068,0.0001739368,0.00005850316,0.0001299078,4.304376e-8,0.000729056,0.0000384761,0.9976744,0.0002164129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00608163,0.9901457,0.00001948101,0.0004492469,0.001073288,0.001478824,0.0007267068,0.000007415976,0.0000176658],"genre_scores_gemma":[0.0006703679,0.9974836,0.0004096615,0.0002142822,0.000052067,0.0002241458,0.0001180677,0.00005589716,0.000771959],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9330366,"threshold_uncertainty_score":0.8312209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103462404761134,"score_gpt":0.3445664090524306,"score_spread":0.3135317850048193,"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."}}