{"id":"W3113671055","doi":"10.1016/j.cbd.2020.100782","title":"Current topics in omics, ecotoxicology, and environmental science","year":2020,"lang":"en","type":"editorial","venue":"Comparative Biochemistry and Physiology Part D Genomics and Proteomics","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecotoxicology; Omics; Environmental toxicology; Current (fluid); Computational biology; Data science; Biology; Computer science; Bioinformatics; Ecology; Engineering; Medicine; Toxicity; Internal medicine","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":[0.01079782,0.003365576,0.004706299,0.00541022,0.003330883,0.01018532,0.003441409,0.01122009,0.02748612],"category_scores_gemma":[0.02314565,0.001444691,0.00252361,0.002668075,0.002852022,0.005563824,0.002394093,0.01551305,0.01487146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003530871,"about_ca_system_score_gemma":0.005112827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119918,"about_ca_topic_score_gemma":0.008689165,"domain_scores_codex":[0.9937452,0.0008733992,0.0006251142,0.0006163348,0.003740155,0.0003998072],"domain_scores_gemma":[0.9700325,0.009064643,0.001483508,0.0008046219,0.01261767,0.005997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003538858,0.00001486539,0.00002941905,0.0002716802,0.00001558646,0.00004635626,0.000009214388,0.00002064897,0.00009787095,0.0003190579,0.9899075,0.009232497],"study_design_scores_gemma":[0.00005324232,0.00001965097,0.0003064018,0.0004218364,0.0000424121,0.000118388,0.00003827279,0.0001162182,0.0000775857,0.001882584,0.9969066,0.00001681676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001981545,0.008816315,0.0001217948,0.01895388,0.9706516,0.00001068278,0.00003755519,0.00004307223,0.001345397],"genre_scores_gemma":[0.0001958046,0.008274949,0.0001542101,0.01115862,0.9706974,0.00001718944,0.00004382533,0.00003532264,0.009422687],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02748612,"threshold_uncertainty_score":0.09195024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616502318195211,"score_gpt":0.2608152418503403,"score_spread":0.2446502186683882,"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."}}