{"id":"W2902758369","doi":"10.1371/journal.pone.0207775","title":"Differential metabolomics analysis allows characterization of diversity of metabolite networks between males and females","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Health Services Authority; Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research; People's Government of Jilin Province","keywords":"Metabolome; Metabolomics; Metabolite; Biology; Metabolic network; Metabolite profiling; Metabolic pathway; Computational biology; Physiology; Genetics; Bioinformatics; Metabolism; Endocrinology","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":[0.0003745218,0.0003205417,0.0003248686,0.001365146,0.0002105359,0.0004121613,0.0001576299,0.0002059471,0.001341914],"category_scores_gemma":[0.001191745,0.000137341,0.0003932469,0.0008644314,0.0001796013,0.0003645746,0.0003682634,0.0002205937,0.0001947242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079047,"about_ca_system_score_gemma":0.0001446505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008749245,"about_ca_topic_score_gemma":0.001138621,"domain_scores_codex":[0.9997548,0.00005487751,0.00001439804,0.0001143774,0.00003276733,0.00002872533],"domain_scores_gemma":[0.9995022,0.000200569,0.000159658,0.00004838948,0.00005076763,0.00003840967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001579903,0.000149276,0.4491959,0.0006139895,0.0009270324,0.000585111,0.0006636958,0.007262306,0.3871555,0.00248516,0.0008641074,0.1485181],"study_design_scores_gemma":[0.00002129196,0.0004045113,0.9191145,0.0000389147,0.0003121993,0.000977734,0.0003685827,0.03457908,0.03512965,0.005685301,0.003325695,0.00004264079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631842,0.0008948572,0.03158665,0.0001120431,0.00001329543,0.00003793893,0.002745752,0.0001042982,0.001321048],"genre_scores_gemma":[0.9887437,0.0004561338,0.00885533,0.00003050077,0.00001262245,0.00004243604,0.001552429,0.00001674415,0.0002900372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001365146,"threshold_uncertainty_score":0.004489124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03849751366195894,"score_gpt":0.2337873640361001,"score_spread":0.1952898503741411,"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."}}