{"id":"W4200258700","doi":"10.1021/acs.chemrestox.1c00344","title":"Power in Numbers: The Gut Microbiome Takes the Spotlight","year":2021,"lang":"en","type":"article","venue":"Chemical Research in Toxicology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Environmental Health Sciences","keywords":"Microbiome; Gut microbiome; Computational biology; Power (physics); Biology; Evolutionary biology; Genetics; Physics","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":[0.001271905,0.0001220662,0.0001705547,0.00006846003,0.00009939589,0.00003516373,0.000572588,0.0003453621,0.0002178216],"category_scores_gemma":[0.0006306436,0.00007842593,0.00006790262,0.0005403315,0.0006038627,0.00000288938,0.0003731638,0.0007889458,0.00007683468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025004,"about_ca_system_score_gemma":0.0004651624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004416281,"about_ca_topic_score_gemma":0.0004731209,"domain_scores_codex":[0.997813,0.0005261828,0.0002721406,0.0004521554,0.0001519778,0.0007845185],"domain_scores_gemma":[0.9989378,0.0002591696,0.00002993537,0.0005560947,0.0001267808,0.00009024633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006937444,0.0001588556,0.00107646,0.00001595804,0.00001002179,0.0000589575,0.0001685704,0.000001052043,0.9824975,0.0005000363,0.01509101,0.0003522295],"study_design_scores_gemma":[0.0005861642,0.0000876679,0.004802833,0.00002204949,0.000001478891,0.000107476,0.0005705509,0.000003541522,0.7047159,0.0004929636,0.2884943,0.0001151084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670495,0.001904293,0.000003175937,0.02263763,0.0001258376,0.0002625199,0.000009735018,0.000004523898,0.00800273],"genre_scores_gemma":[0.9965301,0.0003158625,0.00009448044,0.001733179,0.0001407954,0.00005956102,0.00004365811,0.00001751405,0.001064907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2777816,"threshold_uncertainty_score":0.3427621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05024157593942667,"score_gpt":0.3927023549667931,"score_spread":0.3424607790273664,"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."}}