{"id":"W3126728880","doi":"10.1016/j.aquatox.2021.105761","title":"An ‘omics approach to investigate the growth effects of environmentally relevant concentrations of guanylurea exposure on Japanese medaka (Oryzias latipes)","year":2021,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"University of Ontario Institute of Technology","keywords":"Oryzias; Biology; Metabolomics; Metformin; Proteomics; Toxicogenomics; Environmental toxicology; Toxicology; Toxicity; Bioinformatics; Chemistry; Gene expression; Gene; Diabetes mellitus; Biochemistry; Endocrinology","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":[0.0003875042,0.0007715648,0.000729511,0.001298263,0.0006128816,0.0009594333,0.0003404516,0.0007010471,0.0008393751],"category_scores_gemma":[0.0002461847,0.0002830126,0.001166178,0.001011919,0.0003694007,0.0004890036,0.0006898663,0.0007316762,0.0002424787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005642406,"about_ca_system_score_gemma":0.0006252466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0036137,"about_ca_topic_score_gemma":0.006663598,"domain_scores_codex":[0.9997452,0.00002339066,0.00001888872,0.0001065133,0.00007830806,0.00002774045],"domain_scores_gemma":[0.9998185,0.0000383541,0.00005031393,0.00001986512,0.00005685943,0.00001617862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001780293,0.00008111211,0.01264379,0.0004780442,0.0002115804,0.0001445541,0.0001657427,0.0009074961,0.9720098,0.0002669383,0.0002655914,0.01264726],"study_design_scores_gemma":[0.00003385647,0.001187478,0.5118327,0.0001523764,0.001044287,0.0007100967,0.001201782,0.01798074,0.4402578,0.001918199,0.02352106,0.0001596404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194343,0.005053472,0.04824029,0.0006791078,0.0001264134,0.0003042308,0.02193689,0.0005979367,0.003627396],"genre_scores_gemma":[0.8352898,0.005486776,0.1261954,0.001652355,0.00006917163,0.0008042364,0.0244003,0.0001719515,0.005930045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0036137,"threshold_uncertainty_score":0.00718534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009698164606735261,"score_gpt":0.2305250730151817,"score_spread":0.2208269084084464,"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."}}