{"id":"W4293730149","doi":"10.3390/metabo12090813","title":"A Multi-Matrix Metabolomic Approach in Ringed Seals and Beluga Whales to Evaluate Contaminant and Climate-Related Stressors","year":2022,"lang":"en","type":"article","venue":"Metabolites","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Simon Fraser University; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Northern Contaminants Program; Fisheries and Oceans Canada; Crown-Indigenous Relations and Northern Affairs Canada; ArcticNet; Fisheries Joint Management Committee","keywords":"Blubber; Beluga Whale; Phoca; Beluga; Metabolite; Metabolomics; Trophic level; Polybrominated diphenyl ethers; Leucas; Biology; Marine mammal; Zoology; Environmental chemistry; Arctic; Ecology; Chemistry; Fishery; Biochemistry; Pollutant","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":[0.0001839034,0.0004049296,0.000477152,0.0007688836,0.0004249705,0.0004324857,0.0001301841,0.0003114274,0.0006917798],"category_scores_gemma":[0.0001918377,0.0001682551,0.000454909,0.000454742,0.0001511886,0.0002451894,0.0004269573,0.000296414,0.0001342088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840152,"about_ca_system_score_gemma":0.0002777096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004565145,"about_ca_topic_score_gemma":0.007808678,"domain_scores_codex":[0.999895,0.00001294873,0.000004266984,0.00005284882,0.00001659736,0.00001840564],"domain_scores_gemma":[0.9999208,0.000007890535,0.00002114248,0.000005515063,0.00002584835,0.00001880721],"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":[0.001258748,0.0001702759,0.0869646,0.0003057169,0.0004379042,0.0004206043,0.0006648764,0.0006480218,0.8888694,0.0001746273,0.0002775282,0.01980766],"study_design_scores_gemma":[0.00002361044,0.00155395,0.949803,0.00004038533,0.0004070474,0.0007846238,0.001140866,0.005612164,0.03761954,0.0004006207,0.002554164,0.00006011403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945124,0.001240248,0.00263159,0.00004433285,0.00001593314,0.00004103341,0.001075245,0.00003027179,0.000408863],"genre_scores_gemma":[0.9870952,0.0009291308,0.008645725,0.0001358504,0.00001732844,0.0001168636,0.001529224,0.00001997164,0.001510647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004565145,"threshold_uncertainty_score":0.009077132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318739606846841,"score_gpt":0.2919479323325229,"score_spread":0.2687605362640544,"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."}}