{"id":"W3171146477","doi":"10.1038/s41598-021-91792-1","title":"A genome-wide portrait of pervasive drug contaminants","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital; Genome British Columbia; University of British Columbia","funders":"University of British Columbia; Canada Research Chairs; National Aeronautics and Space Administration","keywords":"Biochemistry; Toxicogenomics; Arginine; Chemistry; Biology; Metabolic pathway; Gene; Genetics; Amino acid","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":[],"consensus_categories":[],"category_scores_codex":[0.0003367122,0.00008546379,0.0001372538,0.00003439058,0.0001010801,0.00003401325,0.0001004074,0.0000427965,0.00006732585],"category_scores_gemma":[0.0001834648,0.00008225923,0.0001014567,0.0002033025,0.0001659535,0.000003593978,0.0001079808,0.00003514891,0.000007270458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003921299,"about_ca_system_score_gemma":0.0002964762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001026549,"about_ca_topic_score_gemma":0.00004234958,"domain_scores_codex":[0.9988103,0.00002374523,0.0003160063,0.0005008509,0.0001741717,0.0001749215],"domain_scores_gemma":[0.9986703,0.000006326794,0.0001906058,0.0007976348,0.0002575971,0.00007749335],"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":[0.000001975949,0.00006721726,0.00844282,0.00001095409,0.00001714526,0.00007819965,0.00007209479,0.000004907261,0.9864234,0.00005407153,0.004304256,0.000522951],"study_design_scores_gemma":[0.0000724807,0.000006020255,0.03057246,0.000005027964,0.00001573212,0.0001267224,0.0001087398,0.000001232725,0.7124092,0.0004949601,0.2561052,0.00008220053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937403,0.001741917,0.0003849723,0.00009441102,0.0008842687,0.0001190497,0.00001717976,0.000006480009,0.003011408],"genre_scores_gemma":[0.978626,0.00003617949,0.0004888985,0.00005161743,0.0000683688,0.00001869792,0.0004142356,0.000009323219,0.02028675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2740142,"threshold_uncertainty_score":0.3354434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007461987189158097,"score_gpt":0.236123169278961,"score_spread":0.2286611820898029,"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."}}