{"id":"W2151639380","doi":"10.1007/s11356-015-4177-4","title":"Morphological alterations in the liver of yellow perch (Perca flavescens) from a biological mercury hotspot","year":2015,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Perch; Mercury (programming language); Ultrastructure; Ecotoxicology; Bioaccumulation; Parenchyma; Toxicity; Biology; Hepatocyte; Environmental chemistry; Zoology; Fishery; Chemistry; Anatomy; Fish <Actinopterygii>; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003271814,0.00009461049,0.0001153302,0.00008836333,0.000404684,0.00004529489,0.0003710199,0.0000598972,0.001079917],"category_scores_gemma":[0.0002702021,0.00005766906,0.00002456458,0.0006914999,0.004566421,0.0002956695,0.0003782925,0.0002456415,0.0002944547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292607,"about_ca_system_score_gemma":0.00003397284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111312,"about_ca_topic_score_gemma":0.00008040499,"domain_scores_codex":[0.9974989,0.0003813363,0.0001898454,0.000338099,0.001213651,0.0003781127],"domain_scores_gemma":[0.9994554,0.0001285373,0.00003127925,0.0002029748,0.00001015016,0.0001716429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001164576,0.0005940011,0.2193542,0.000002407917,0.000007043923,0.00004667097,0.02808907,0.0001286064,0.7274931,0.0005094063,0.008510052,0.01514895],"study_design_scores_gemma":[0.0003040927,0.000268265,0.978168,0.000006313381,0.000002936992,0.00002004116,0.01180903,0.0006001951,0.004134336,0.0006432628,0.003930787,0.0001128088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942314,0.0002657995,0.00001927538,0.00155796,0.00003301012,0.0002604006,0.00003159208,0.00000530655,0.003595249],"genre_scores_gemma":[0.9987617,0.0004879523,0.0002213922,0.0003596725,0.00002858974,0.00002330473,0.000006833332,0.000002515361,0.0001080022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7588137,"threshold_uncertainty_score":0.9998332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461152631124649,"score_gpt":0.3578284084153316,"score_spread":0.2117131453028668,"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."}}