{"id":"W3014663628","doi":"10.1016/j.chemosphere.2020.126631","title":"Combining elevated temperature with waterborne copper: Impacts on the energy metabolism of the killifish Poecilia vivipara","year":2020,"lang":"en","type":"article","venue":"Chemosphere","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Instituto Nacional de Ciência e Tecnologia de Toxicologia Aquática; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre","keywords":"Gill; Anaerobic exercise; Lactate dehydrogenase; Chemistry; Cellular respiration; Glycolysis; Acclimatization; Biochemistry; Metabolism; Oxidative stress; Citrate synthase; Biology; Biophysics; Enzyme; Mitochondrion; Ecology; Physiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009600697,0.0003897392,0.0002696465,0.0002081739,0.0002312569,0.0003636015,0.0003923844,0.0004183933,0.001033041],"category_scores_gemma":[0.0002185265,0.0001839482,0.0001459696,0.0001445679,0.0003225776,0.0002575611,0.0003920311,0.00055887,0.0001218073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809368,"about_ca_system_score_gemma":0.0002928623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007333986,"about_ca_topic_score_gemma":0.00936914,"domain_scores_codex":[0.999902,0.00001241517,0.000004209627,0.00003423782,0.00001400106,0.00003323771],"domain_scores_gemma":[0.9998367,0.00002828564,0.00004355994,0.00001513471,0.00002189552,0.00005445154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001259066,0.00005539579,0.002737623,0.00002906458,0.00002173033,0.00009537984,0.00007484143,0.0001247109,0.993725,0.00003399219,0.00005414621,0.001788965],"study_design_scores_gemma":[0.0001230751,0.004454035,0.3129707,0.00001995058,0.000217045,0.0005459707,0.001007471,0.003929937,0.6741617,0.0003387275,0.002170457,0.00006093715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995794,0.00007120144,0.0001027589,0.00003897125,0.000003396079,0.000001873362,0.00003975528,0.000006300284,0.0001563292],"genre_scores_gemma":[0.9988551,0.00006209221,0.0002130685,0.00003311525,0.000002743849,0.000005018189,0.00008432084,0.000009201439,0.0007352757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007333986,"threshold_uncertainty_score":0.01458263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008194960963582545,"score_gpt":0.1808651428285306,"score_spread":0.1726701818649481,"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."}}