{"id":"W2927718140","doi":"10.1002/etc.4432","title":"Selenium and Mercury in Freshwater Fish Muscle Tissue and Otoliths: A Comparative Analysis","year":2019,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Institute for Sustainable Development; University of Manitoba; Stantec (Canada)","funders":"American Electric Power; Electric Power Research Institute","keywords":"Mercury (programming language); Selenium; Freshwater fish; Muscle tissue; Fishery; Fish <Actinopterygii>; Biology; Zoology; Environmental chemistry; Chemistry; Anatomy","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":[0.0002258068,0.0002688327,0.0001984894,0.001288388,0.0002605369,0.0002883581,0.0001937953,0.0002098709,0.0007644818],"category_scores_gemma":[0.0003158037,0.0001429993,0.0002172429,0.0007527475,0.0002744403,0.0002177355,0.0003326246,0.00009902762,0.0001407931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437424,"about_ca_system_score_gemma":0.0001998621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004827586,"about_ca_topic_score_gemma":0.009311305,"domain_scores_codex":[0.9998696,0.00001194654,0.00001121831,0.00004580732,0.00004236185,0.00001909373],"domain_scores_gemma":[0.9998237,0.0000340706,0.0000481985,0.000007862098,0.00005979752,0.00002641544],"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":[0.0009267263,0.00006485427,0.4231169,0.0001368791,0.0001797951,0.0005370733,0.0003609891,0.0001778464,0.5591749,0.00006169493,0.00006582108,0.01519651],"study_design_scores_gemma":[0.000003934753,0.0002929375,0.9844394,0.000003062449,0.00003405085,0.0002990601,0.0001332496,0.0001684298,0.01435303,0.00001412308,0.0002532766,0.000005467503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993386,0.0001471751,0.0001664266,0.000002725064,0.000001263271,0.000002717701,0.00008762725,0.00000409431,0.000249357],"genre_scores_gemma":[0.9981337,0.0001617118,0.0006923638,0.000008650883,0.000003556262,0.00001003526,0.0002883005,0.000003870796,0.0006977062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004827586,"threshold_uncertainty_score":0.00959897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008000992934514234,"score_gpt":0.2382906595532942,"score_spread":0.23028966661878,"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."}}