{"id":"W2803633169","doi":"10.1016/j.envpol.2018.05.024","title":"Microcystin-LR affects the hypothalamic-pituitary-inter-renal (HPI) axis in early life stages (embryos and larvae) of zebrafish","year":2018,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"State Key Laboratory of Freshwater Ecology and Biotechnology; State Administration of Foreign Experts Affairs; National Natural Science Foundation of China","keywords":"Zebrafish; Biology; Glucocorticoid receptor; Mineralocorticoid receptor; Endocrinology; Internal medicine; Danio; Endocrine system; Hypothalamic–pituitary–thyroid axis; Glucocorticoid; Andrology; Hormone; Gene; Genetics; Aldosterone; Medicine","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":[0.0001041277,0.0003738678,0.000334689,0.0003056993,0.0003017414,0.0003686815,0.0003080551,0.0004553263,0.00201272],"category_scores_gemma":[0.0001718879,0.0003165679,0.0003677771,0.0001136678,0.0005543036,0.0005027422,0.000328976,0.001058599,0.0002233495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126286,"about_ca_system_score_gemma":0.0006214393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085122,"about_ca_topic_score_gemma":0.02398226,"domain_scores_codex":[0.9998134,0.00001111,0.00001380588,0.00005289044,0.00003533553,0.00007358477],"domain_scores_gemma":[0.9997999,0.00002129318,0.00006571007,0.00001230515,0.000025594,0.00007521319],"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":[0.00037133,0.00002463243,0.0008483429,0.00002752956,0.000005931389,0.00009492368,0.00005336188,0.00004966537,0.9976658,0.00009166695,0.00005578083,0.0007111228],"study_design_scores_gemma":[0.00005861531,0.0006863763,0.07074417,0.00001355009,0.00004656786,0.0001218592,0.000346479,0.0007939104,0.9254275,0.000102368,0.001631628,0.00002699148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997126,0.0004690172,0.0005825704,0.000146362,0.00003621103,0.00001445598,0.0005614731,0.00005679106,0.001006995],"genre_scores_gemma":[0.9920793,0.000315099,0.0005090531,0.0000950776,0.000007662761,0.00004629207,0.0003262972,0.00004691795,0.006574318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01085122,"threshold_uncertainty_score":0.02157617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005227420105034892,"score_gpt":0.1870725712826564,"score_spread":0.1818451511776215,"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."}}