{"id":"W4402514605","doi":"10.52843/cassyni.1d0zcc","title":"Questioning the fetal microbiome illustrates pitfalls of low-biomass microbial studies","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Microbiome; Biomass (ecology); Metagenomics; Computational biology; Biotechnology; Biology; Biochemical engineering; Bioinformatics; Ecology; Genetics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02340782,0.000695779,0.001390188,0.002007966,0.001695682,0.003339742,0.001362687,0.00160076,0.001344169],"category_scores_gemma":[0.04033526,0.0003712943,0.000529254,0.001440705,0.008315334,0.003687993,0.004746887,0.00377188,0.0007225041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000711307,"about_ca_system_score_gemma":0.001157022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001346572,"about_ca_topic_score_gemma":0.001986198,"domain_scores_codex":[0.9862865,0.007875601,0.0007488212,0.001823074,0.002909529,0.0003565076],"domain_scores_gemma":[0.9710852,0.02057274,0.002346259,0.003160064,0.002022588,0.0008130562],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00137544,0.0001830009,0.1358428,0.007944311,0.0009952042,0.00462988,0.02316794,0.002942103,0.2116483,0.1208628,0.01337026,0.477038],"study_design_scores_gemma":[0.00004786364,0.0008785011,0.1290432,0.004595313,0.0004304348,0.009360952,0.01609601,0.003918623,0.08658456,0.5272182,0.2215555,0.0002708649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.3114348,0.1510285,0.4218262,0.08308055,0.005028623,0.0002147239,0.001683611,0.0005819732,0.02512101],"genre_scores_gemma":[0.7704607,0.04448893,0.16013,0.01746377,0.002682733,0.0003665255,0.0005878017,0.000549085,0.003270555],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9765922,"threshold_uncertainty_score":0.1237938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04224082957320789,"score_gpt":0.3275080769418861,"score_spread":0.2852672473686781,"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."}}