{"id":"W4404959820","doi":"10.3390/metabo14120671","title":"Comprehensive Blood Metabolome and Exposome Analysis, Annotation, and Interpretation in E-Waste Workers","year":2024,"lang":"en","type":"article","venue":"Metabolites","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fogarty International Center; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; Genome Canada","keywords":"Exposome; Metabolome; Metabolomics; Biology; Physiology; Environmental health; Medicine; Bioinformatics","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":[0.0007322158,0.0005112304,0.0003975251,0.001293123,0.0004378012,0.0005627233,0.0002556535,0.0004007898,0.001279627],"category_scores_gemma":[0.0007429027,0.0001711942,0.0004667464,0.001189244,0.0002568384,0.0001660847,0.0007357713,0.0002216502,0.0004282513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002885002,"about_ca_system_score_gemma":0.0004256735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003025133,"about_ca_topic_score_gemma":0.004547912,"domain_scores_codex":[0.9996952,0.00006637289,0.00002376527,0.0001049718,0.00006495691,0.00004477654],"domain_scores_gemma":[0.9996588,0.00007689666,0.00009304239,0.00004841812,0.00009851943,0.0000241922],"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":[0.002837858,0.0002679568,0.4230144,0.0009480071,0.000451363,0.0009957229,0.0009268577,0.002159982,0.462828,0.0002502864,0.002316269,0.1030032],"study_design_scores_gemma":[0.00003931841,0.0005414551,0.8992989,0.0001101221,0.0003190569,0.001382309,0.0006981,0.003697719,0.08274138,0.001019282,0.01009812,0.0000541414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714738,0.00201393,0.01613931,0.0001770948,0.00002021024,0.00009113278,0.009085565,0.0002955497,0.0007034449],"genre_scores_gemma":[0.9618765,0.001442756,0.0248064,0.0002135924,0.00002717468,0.0001654196,0.009637659,0.00009826198,0.001732263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003025133,"threshold_uncertainty_score":0.006015062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008961939382665422,"score_gpt":0.252772316108924,"score_spread":0.2438103767262586,"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."}}