{"id":"W2560339773","doi":"10.1021/acs.est.6b03990","title":"Responses of the Proteome and Metabolome in Livers of Zebrafish Exposed Chronically to Environmentally Relevant Concentrations of Microcystin-LR","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"State Key Laboratory of Freshwater Ecology and Biotechnology; State Administration of Foreign Experts Affairs; Chinese Academy of Sciences; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Metabolome; Zebrafish; Proteome; Microcystin; Biology; Metabolomics; Marine toxin; Chemistry; Biochemistry; Bioinformatics; Cyanobacteria; Toxin; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008908976,0.0003248865,0.0002837337,0.0002633689,0.0002049238,0.0001845271,0.0001108693,0.0002908677,0.000953192],"category_scores_gemma":[0.0001186789,0.00014682,0.0002489922,0.0001331252,0.0002593854,0.000223789,0.0002464912,0.0003530508,0.0001277296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003572183,"about_ca_system_score_gemma":0.0003291555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003572465,"about_ca_topic_score_gemma":0.006629827,"domain_scores_codex":[0.9999433,0.000004981705,0.000004160144,0.0000185394,0.00001563333,0.00001345099],"domain_scores_gemma":[0.9999311,0.000004764888,0.0000221348,0.000005623971,0.00002023306,0.00001609326],"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":[0.0001307857,0.000006091434,0.001124754,0.00002581979,0.000007890286,0.00003861553,0.00002549054,0.00001747513,0.9982343,0.000008185475,0.00001793651,0.0003626499],"study_design_scores_gemma":[0.00002163376,0.001070985,0.2556887,0.00001668722,0.0001097391,0.0004256102,0.0003721126,0.0006737697,0.7393072,0.0001216949,0.002166289,0.00002557268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996956,0.000763095,0.0007544521,0.0001047022,0.00002530097,0.00002125404,0.0008379017,0.00002543562,0.0005118996],"genre_scores_gemma":[0.9926968,0.0008459571,0.001748815,0.0001581983,0.000009287246,0.00006918095,0.001089078,0.00001651991,0.003366137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003572465,"threshold_uncertainty_score":0.007103324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004883798014631425,"score_gpt":0.1950625435807194,"score_spread":0.190178745566088,"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."}}