{"id":"W2347194811","doi":"10.1139/cjfas-2015-0473","title":"Organic and inorganic contamination impacts on metabolic capacities in American and European yellow eels","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Université de Bordeaux; Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture; Agence Nationale de la Recherche","keywords":"Anguilla rostrata; Anguillidae; Pyruvate kinase; Contamination; Environmental chemistry; Polybrominated diphenyl ethers; Lactate dehydrogenase; Chemistry; Biology; Enzyme; Fishery; Ecology; Glycolysis; Fish <Actinopterygii>; Biochemistry; Pollutant","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001113603,0.000261504,0.0001550492,0.0004928034,0.0001586066,0.0004069331,0.00008888372,0.0001701254,0.0004886707],"category_scores_gemma":[0.0001498051,0.0001204836,0.0002161047,0.0002424683,0.000166413,0.000191634,0.0003308002,0.0001529189,0.0001090147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002942979,"about_ca_system_score_gemma":0.0001357161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110182,"about_ca_topic_score_gemma":0.01943266,"domain_scores_codex":[0.999882,0.00001412344,0.000009815054,0.00005140044,0.00002186125,0.00002087245],"domain_scores_gemma":[0.9998029,0.00001483436,0.00007979116,0.00001454077,0.0000483342,0.00003962509],"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":[0.0007207592,0.0001000914,0.4467184,0.00005544864,0.0001732169,0.0002294653,0.0004025356,0.00032388,0.5438852,0.0001005116,0.0001190824,0.007171496],"study_design_scores_gemma":[0.00000154043,0.0001066605,0.9940636,0.000002010017,0.00002627172,0.00007455514,0.0001447902,0.0001786768,0.005091449,0.0000187285,0.000287633,0.00000418117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994679,0.00008956403,0.00005872694,0.000006475022,9.384644e-7,0.000001008518,0.0001512995,0.000003459928,0.0002204966],"genre_scores_gemma":[0.9982092,0.0001168376,0.0001612229,0.00003102516,0.000001502924,0.000005340998,0.0004447043,0.000004580827,0.001025564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01110182,"threshold_uncertainty_score":0.0220744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041729491979826,"score_gpt":0.194818409678473,"score_spread":0.1844011147586748,"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."}}