{"id":"W4319454754","doi":"10.1186/s40168-022-01454-1","title":"Ultra-sensitive isotope probing to quantify activity and substrate assimilation in microbiomes","year":2023,"lang":"en","type":"article","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; Novo Nordisk; Novo Nordisk Fonden; Canada Foundation for Innovation; U.S. Department of Energy; Government of Alberta; National Institute of Food and Agriculture; National Institutes of Health; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Agriculture; University of Calgary; Foundation for Food and Agriculture Research; National Science Foundation","keywords":"Microbiome; Biology; Stable-isotope probing; Microbial ecology; Biogeochemical cycle; Assimilation (phonology); Metagenomics; Ecology; Evolutionary biology; Bacteria; Bioinformatics; Genetics; Microorganism; Gene","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":[0.0009675015,0.000672342,0.000543551,0.001026429,0.0003867148,0.000877019,0.000578251,0.001095706,0.001557663],"category_scores_gemma":[0.001298377,0.0003541675,0.0005021522,0.0008777476,0.0005778119,0.0006317879,0.001021463,0.001237412,0.001128372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004796119,"about_ca_system_score_gemma":0.0003664737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005547445,"about_ca_topic_score_gemma":0.0007693501,"domain_scores_codex":[0.9989476,0.0001558242,0.00005031586,0.0003085911,0.0004450637,0.00009262961],"domain_scores_gemma":[0.999303,0.0002752808,0.0001174808,0.00008773358,0.0001622994,0.00005434338],"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":[0.00005765293,0.00002809739,0.001494134,0.0001599755,0.00002233907,0.00002659401,0.00004286539,0.0008425682,0.9880084,0.0003703849,0.0002949518,0.008652036],"study_design_scores_gemma":[0.000006697055,0.0001450778,0.005096775,0.00003250758,0.0000286391,0.0001387504,0.00005849953,0.01853448,0.9681483,0.0008430333,0.006924304,0.00004290784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5024329,0.005717542,0.4757242,0.0006152646,0.0003181672,0.0002356748,0.005871498,0.003216281,0.005868533],"genre_scores_gemma":[0.695366,0.002834831,0.2920102,0.0005781112,0.0001073942,0.0005611962,0.003796536,0.0003884977,0.004357265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001557663,"threshold_uncertainty_score":0.005210876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887616543533658,"score_gpt":0.2858000551160053,"score_spread":0.2669238896806687,"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."}}