{"id":"W2538172587","doi":"10.1016/j.aquatox.2016.10.011","title":"Investigating copper toxicity in the tropical fish cardinal tetra ( Paracheirodon axelrodi ) in natural Amazonian waters: Measurements, modeling, and reality","year":2016,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of British Columbia","funders":"U.S. Bureau of Land Management","keywords":"Bioaccumulation; Environmental chemistry; Copper; Amazonian; Chemistry; Toxicity; Copper toxicity; Soft water; Biotic Ligand Model; Toxicant; Acute toxicity; Amazon rainforest; Dissolved organic carbon; Ecology; Biology","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":[0.0001830411,0.0002242658,0.0001076803,0.0001325832,0.0003113855,0.000237955,0.0003384542,0.0002613582,0.0002504104],"category_scores_gemma":[0.0002602579,0.0001157175,0.0001318789,0.0001874177,0.0002473166,0.0003555632,0.0001913663,0.0001276167,0.00005410661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007067864,"about_ca_system_score_gemma":0.0005391969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06817934,"about_ca_topic_score_gemma":0.0919622,"domain_scores_codex":[0.9999274,0.0000140488,0.000004094809,0.0000236084,0.00001899983,0.00001195008],"domain_scores_gemma":[0.9998907,0.00002995552,0.0000312644,0.00001087913,0.0000283445,0.000008896964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007102885,0.0003411686,0.5676609,0.0001587025,0.00008105946,0.0004585445,0.0009039383,0.03735616,0.3720769,0.000477454,0.0002880364,0.01948694],"study_design_scores_gemma":[0.00009829798,0.002552975,0.6729943,0.00001450591,0.0001359745,0.0002848607,0.002590391,0.207977,0.1117659,0.000499799,0.001045696,0.00004020426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995577,0.000009315998,0.0002421779,0.00001117952,2.950702e-7,0.00000320202,0.00003403331,0.000003849852,0.0001383904],"genre_scores_gemma":[0.9993696,0.00002645541,0.0004511168,0.000003512996,2.629089e-7,0.000004243123,0.00003535772,0.00000107142,0.0001084852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06817934,"threshold_uncertainty_score":0.135565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04528987787459866,"score_gpt":0.2630849238835737,"score_spread":0.2177950460089751,"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."}}