{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005328755,0.0001455128,0.0002865256,0.0001608977,0.00009141619,0.000003764133,0.0007123925,0.00009980595,0.0002842534],"category_scores_gemma":[0.0001321138,0.00009506115,0.00004427784,0.0006190929,0.00439863,0.0001703778,0.0007392946,0.00009463973,0.00002031703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349605,"about_ca_system_score_gemma":0.00004098445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008111036,"about_ca_topic_score_gemma":0.0001613523,"domain_scores_codex":[0.9982355,0.00006380765,0.0005351893,0.0004158934,0.000426658,0.0003229295],"domain_scores_gemma":[0.9990223,0.0000937216,0.0003223558,0.0004818002,0.000002794565,0.00007704047],"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":[0.00002681982,0.00008651809,0.2211669,0.000004947334,0.000003329895,9.387432e-7,0.0002270266,0.00008293022,0.7766565,0.0003207081,0.00000386999,0.001419523],"study_design_scores_gemma":[0.0005077017,0.000319209,0.4278217,0.00007343449,0.000009797342,0.00001460301,0.0003739621,0.00008302042,0.56972,0.0003123012,0.0006333526,0.0001309035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980805,0.00006486152,0.0002254749,0.0006137643,0.00004231105,0.0006835416,0.00007757229,0.000008647032,0.000203306],"genre_scores_gemma":[0.9979345,0.00006448072,0.001791863,0.00003044971,0.000002639849,0.00002878821,4.651696e-7,0.000008016073,0.0001387886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2069364,"threshold_uncertainty_score":0.9983108,"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."}}