{"id":"W7057038415","doi":"","title":"Global metabolomics coupled with isotope labeling reveals favorable metabolic interactions of aging «C. elegans» with its native microbiome.","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Metabolomics; Isotope; Metabolism; Stable isotope ratio; Isotopic labeling; Metabolic pathway","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":[0.0001208171,0.0004424974,0.0002907515,0.0002895567,0.0002757151,0.0004293945,0.0002301288,0.0003478112,0.001424468],"category_scores_gemma":[0.0001366272,0.0002145997,0.0002437066,0.0001828651,0.0001776279,0.0003161082,0.0004957318,0.0004947077,0.0002728598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002808347,"about_ca_system_score_gemma":0.0003414285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002693202,"about_ca_topic_score_gemma":0.008878225,"domain_scores_codex":[0.9999312,0.000002952949,0.000002311238,0.00003391287,0.00001628928,0.0000133263],"domain_scores_gemma":[0.9999162,0.00001242572,0.00002032693,0.000006437232,0.00001913264,0.00002537323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001167616,0.00001382528,0.001790561,0.00003528304,0.000009740219,0.00001864654,0.0000179989,0.00004143011,0.994056,0.00006328433,0.0001538372,0.003682745],"study_design_scores_gemma":[0.00002327901,0.0005258952,0.2397401,0.00003825766,0.0001110975,0.0002687657,0.0003123874,0.004332177,0.7485332,0.0004641947,0.005581463,0.00006920343],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891233,0.001480133,0.004863458,0.0002204126,0.00006497607,0.00002044001,0.002595315,0.0002168328,0.001415217],"genre_scores_gemma":[0.9819341,0.001550271,0.00839242,0.000245577,0.00001917793,0.00006119509,0.002386093,0.00009667104,0.005314573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002693202,"threshold_uncertainty_score":0.005355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461698270350511,"score_gpt":0.2715862867375367,"score_spread":0.2569693040340316,"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."}}