{"id":"W2625673263","doi":"10.1016/j.watres.2017.06.044","title":"Nickel toxicity to cardinal tetra (Paracheirodon axelrodi) differs seasonally and among the black, white and clear river waters of the Amazon basin","year":2017,"lang":"en","type":"article","venue":"Water Research","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Dry season; Dissolved organic carbon; Environmental chemistry; Water quality; Wet season; Chemistry; Surface water; Nickel; Toxicity; Drainage basin; Environmental science; Hydrology (agriculture); Ecology; Geology; Environmental engineering; Biology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.001503026,0.0001484439,0.0001871055,0.00003479691,0.001257966,0.00009824648,0.0007409405,0.0001368589,0.0003990729],"category_scores_gemma":[0.00007677392,0.00007600837,0.00005560592,0.00005769936,0.005633019,0.0001844647,0.002244373,0.0004806117,0.0001723934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104924,"about_ca_system_score_gemma":0.000004757764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004027629,"about_ca_topic_score_gemma":0.0005991217,"domain_scores_codex":[0.9978934,0.0004548885,0.000159625,0.000439957,0.0004539226,0.0005982256],"domain_scores_gemma":[0.9990503,0.00005162706,0.000045586,0.000672786,0.000007020827,0.0001727277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001234253,0.00005333438,0.9262267,0.00001058726,0.00002021941,0.000007557658,0.001921149,0.00008086283,0.06989044,0.000005820056,0.001139095,0.0005208124],"study_design_scores_gemma":[0.0002712985,0.000217737,0.9416204,0.00001146913,0.00001089757,0.000007776494,0.0001610976,0.0001945999,0.05571152,0.0001668107,0.001523475,0.0001028761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898202,0.000005892333,0.000006995059,0.006725232,0.00006206568,0.0005117345,0.00001048704,0.000005703947,0.002851718],"genre_scores_gemma":[0.9950428,0.00002719991,0.00004618492,0.0003342848,0.00002951296,0.00002633979,0.000001192483,0.00001470236,0.004477781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01539374,"threshold_uncertainty_score":0.9970731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03200694257495824,"score_gpt":0.2827529885979582,"score_spread":0.250746046023,"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."}}