{"id":"W3210299997","doi":"10.3390/foods10112621","title":"Correlation of Mercury Occurrence with Age, Elemental Composition, and Life History in Sea-Run Food Fish from the Canadian Arctic Archipelago’s Lower Northwest Passage","year":2021,"lang":"en","type":"article","venue":"Foods","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada; Royal Military College of Canada; Queen's University","funders":"Northern Contaminants Program; Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Salvelinus; Arctic; Coregonus clupeaformis; Arctic char; Trout; Fishery; Mercury (programming language); Trophic level; Archipelago; Ecology; Coregonus; δ15N; Environmental science; δ13C; Biology; Stable isotope ratio; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002621651,0.0002514897,0.0001708651,0.001223007,0.001181324,0.0005137432,0.0004810416,0.0002516708,0.001150038],"category_scores_gemma":[0.0005705169,0.0001938916,0.0002571587,0.001533656,0.0004041396,0.0001561121,0.0003523276,0.0002765489,0.0001556611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003937178,"about_ca_system_score_gemma":0.002727176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9321959,"about_ca_topic_score_gemma":0.9793063,"domain_scores_codex":[0.9997994,0.000009772105,0.00001415698,0.00005363848,0.0000616405,0.0000613845],"domain_scores_gemma":[0.999279,0.00004755937,0.0001266279,0.00002609891,0.000340226,0.0001805303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002942468,0.000006419225,0.9976661,0.000005041891,0.00002390652,0.00003522039,0.0003204402,0.00003387053,0.0006337935,0.0000103798,0.0001053845,0.001129996],"study_design_scores_gemma":[3.537974e-7,0.000004589721,0.9996077,0.000001495955,0.000003918529,0.00001708018,0.0002100508,0.00003384053,0.00002706329,0.00000186757,0.00009081857,0.000001223637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990398,0.00005600824,0.00001890995,0.00001231826,0.000001144832,0.000002841516,0.0005152151,0.000001475825,0.0003521492],"genre_scores_gemma":[0.9984506,0.00008620776,0.00007891225,0.00001518585,0.000001107038,0.000006146387,0.0007411682,0.000001778361,0.0006189767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0678041,"threshold_uncertainty_score":0.1364068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188479534616309,"score_gpt":0.2212563367313126,"score_spread":0.2024083832696817,"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."}}