{"id":"W4410602426","doi":"10.3390/toxics13060419","title":"Water-Column Zone Impacts Non-Essential Heavy Metal Accumulation in Fish Occupying Different Zones","year":2025,"lang":"en","type":"article","venue":"Toxics","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Barrie Urology Group; University of Toronto","funders":"Fisheries and Oceans Canada; University of Toronto","keywords":"Demersal zone; Water column; Mesopelagic zone; Pelagic zone; Demersal fish; Environmental science; Mercury (programming language); Fishery; Cadmium; Bay; Environmental chemistry; Fish <Actinopterygii>; Oceanography; Chemistry; Geology; Biology","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":[0.00008797756,0.0001833208,0.0001185635,0.0003457235,0.0002955773,0.0002535262,0.0001251186,0.0002121235,0.001202644],"category_scores_gemma":[0.0001519203,0.0001097724,0.0001266891,0.0001923263,0.0003472292,0.0002073777,0.000374685,0.0001359124,0.0001258599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006404324,"about_ca_system_score_gemma":0.0002672009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166258,"about_ca_topic_score_gemma":0.08248887,"domain_scores_codex":[0.9999377,0.000007120729,0.000004181747,0.00002040506,0.0000120681,0.00001856883],"domain_scores_gemma":[0.9998767,0.00001163386,0.00004560134,0.000007173431,0.00002310622,0.00003562773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008031694,0.0001014533,0.6076257,0.00006895379,0.00007464177,0.0002365347,0.0009642474,0.0002531153,0.3844425,0.00008142576,0.00009062717,0.005257683],"study_design_scores_gemma":[0.000001799988,0.0001835684,0.9951457,0.000002369463,0.00000746745,0.00003284403,0.0003625946,0.0000622298,0.004044073,0.00001429021,0.0001410727,0.000001916761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997795,0.00001468794,0.00001667183,0.00000493647,3.440791e-7,0.000001050171,0.00002593328,8.699496e-7,0.0001559821],"genre_scores_gemma":[0.999221,0.00003171456,0.00006014265,0.00001164468,4.573422e-7,0.000002522539,0.00005011969,9.532658e-7,0.0006214666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02166258,"threshold_uncertainty_score":0.043073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365800940064713,"score_gpt":0.3049620029280696,"score_spread":0.2813039935274225,"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."}}