{"id":"W1984675515","doi":"10.1016/j.envpol.2011.09.025","title":"Toxicological significance of mercury in yellow perch in the Laurentian Great Lakes region","year":2011,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"Great Lakes Fishery Commission; Minnesota Pollution Control Agency; U.S. Environmental Protection Agency","keywords":"Perch; Mercury (programming language); Methylmercury; Fishery; Trophic level; Biology; Environmental science; Ecology; Fish <Actinopterygii>; Bioaccumulation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001372087,0.0001253759,0.0001468551,0.0004764737,0.0008672436,0.0003516184,0.0001575902,0.0002543778,0.0004386645],"category_scores_gemma":[0.0001943597,0.0001217443,0.0001220046,0.0002237332,0.000431276,0.0001649592,0.0003180159,0.0001451366,0.00008178734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009648794,"about_ca_system_score_gemma":0.0007118708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08894403,"about_ca_topic_score_gemma":0.1809475,"domain_scores_codex":[0.9999249,0.00001244912,0.000003740615,0.00002163632,0.00001983724,0.00001748341],"domain_scores_gemma":[0.9998937,0.00001043925,0.00002735706,0.000005838139,0.00003903942,0.00002353001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007279769,0.0000750374,0.7707834,0.0000727964,0.0001353007,0.0008125012,0.003558518,0.0005458978,0.2106731,0.000157727,0.0001959671,0.01226171],"study_design_scores_gemma":[0.000004306281,0.0001692851,0.9917691,0.000003381074,0.00001782223,0.0001522467,0.001071926,0.000130631,0.005856375,0.00003366009,0.0007877048,0.000003462297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999554,0.00003489492,0.00001868755,0.0000119918,5.358156e-7,9.858296e-7,0.00001664108,0.000001028438,0.0003614166],"genre_scores_gemma":[0.9984136,0.00008324962,0.00008227014,0.00002539648,0.000001700726,0.000002630306,0.00004255447,0.000001724871,0.001346936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.911056,"threshold_uncertainty_score":0.1768526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842659704669597,"score_gpt":0.2400051638457677,"score_spread":0.2015785667990718,"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."}}