{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159923,0.0001880458,0.000380573,0.0001188556,0.0003257821,0.0000424375,0.0001218966,0.00003046696,0.0003554435],"category_scores_gemma":[0.0001165191,0.0001603363,0.00003566559,0.0003737789,0.0001390788,0.0001746165,0.0006097077,0.0001507992,0.00002899607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005046199,"about_ca_system_score_gemma":0.000007103001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003488915,"about_ca_topic_score_gemma":0.0001614811,"domain_scores_codex":[0.998296,0.0003053521,0.000323727,0.0004034262,0.0002874919,0.0003839944],"domain_scores_gemma":[0.9994949,0.0001064152,0.00009024802,0.0001626693,0.00000749846,0.0001382508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000751085,0.0001739614,0.9164703,0.00003035845,0.00006335223,0.000006772689,0.0103095,0.001575895,0.06592917,0.0003588641,0.000129421,0.00487732],"study_design_scores_gemma":[0.001370657,0.00004737429,0.9867358,0.000006804918,0.00008066509,0.00001261103,0.003482603,0.002750288,0.002018082,0.00006137768,0.003197434,0.0002363662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899583,0.008825676,0.00001372169,0.0001570791,0.00006968351,0.0005156553,0.00008186176,0.00003103181,0.0003469449],"genre_scores_gemma":[0.9959178,0.0007267871,0.002695236,0.0001196659,0.000006815196,0.0001846709,0.00001437585,0.00001522207,0.0003194339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07026546,"threshold_uncertainty_score":0.6538325,"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."}}