{"id":"W3030855098","doi":"10.1007/s10661-020-08355-6","title":"Brown bullhead at the St. Lawrence River (Cornwall) Area of Concern: health and endocrine status in the context of tissue concentrations of PCBs and mercury","year":2020,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Ontario Tech University; Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Mercury (programming language); Ecotoxicology; Context (archaeology); Environmental science; Endocrine system; Water pollutants; Environmental chemistry; Fishery; Water pollution; Biology; Geography; Chemistry; Endocrinology; Archaeology; Hormone","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":[0.0001958042,0.0001995974,0.0001983689,0.0004446846,0.001186017,0.0006096224,0.0002568443,0.0005071295,0.002112042],"category_scores_gemma":[0.0002489653,0.0003019022,0.0001376901,0.000482486,0.0007538581,0.0004334507,0.0003541985,0.0004171501,0.0004730158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589348,"about_ca_system_score_gemma":0.001321915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4410937,"about_ca_topic_score_gemma":0.7880965,"domain_scores_codex":[0.9998425,0.00002549738,0.000004478167,0.00004686645,0.00003315662,0.00004743857],"domain_scores_gemma":[0.9997175,0.00002306309,0.00007151461,0.000008673505,0.00009449205,0.0000847254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005299938,0.000150671,0.977039,0.00003032177,0.00008328461,0.0006883029,0.003057056,0.0001044445,0.01315172,0.0001209138,0.001088615,0.003955521],"study_design_scores_gemma":[0.000004410535,0.0001380542,0.9964092,0.000006452566,0.00001416993,0.00008861316,0.002317482,0.00005658276,0.0004350667,0.00001532763,0.0005098153,0.000004698215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991227,0.00004105826,0.00003638906,0.0000554106,0.000002865991,0.000004657915,0.0001121173,0.000002841014,0.0006220139],"genre_scores_gemma":[0.9938037,0.0001074409,0.0001521608,0.0001114702,0.000003573547,0.00001132243,0.0002622047,0.000003470949,0.005544594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5589063,"threshold_uncertainty_score":0.8770524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182297568136586,"score_gpt":0.308370204001927,"score_spread":0.2665472283205611,"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."}}