{"id":"W2198279851","doi":"10.1124/dmd.115.065391","title":"Multiplexed Targeted Quantitative Proteomics Predicts Hepatic Glucuronidation Potential","year":2015,"lang":"en","type":"article","venue":"Drug Metabolism and Disposition","topic":"Cancer therapeutics and mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"National Center for Research Resources","keywords":"Glucuronidation; UGT2B7; Proteomics; Chemistry; Quantitative proteomics; Enzyme; Microsome; Biochemistry; Biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001755666,0.0001265904,0.0001207979,0.0000395788,0.00007558041,0.00004118667,0.00005941647,0.00007327011,0.000003890027],"category_scores_gemma":[0.00002646359,0.0001204723,0.00004231989,0.00005922367,0.00003984416,0.00001485439,0.00004427059,0.00004869674,0.000004785086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001033741,"about_ca_system_score_gemma":0.00005567534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007532796,"about_ca_topic_score_gemma":0.00002607556,"domain_scores_codex":[0.9992456,0.00007253927,0.0001459309,0.0002481868,0.0001344028,0.0001532905],"domain_scores_gemma":[0.999544,0.000003190103,0.0000784474,0.000140675,0.0001158385,0.0001178178],"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":[0.0003580928,0.00005803923,0.00004791662,0.00001054437,0.00003619028,0.000001108756,0.000359924,0.0001363823,0.9947689,0.002436936,0.0001702608,0.001615739],"study_design_scores_gemma":[0.002983124,0.0002714458,0.004079382,0.00001665096,0.0001516159,0.00001257931,0.000501525,0.00615959,0.9754717,0.003374849,0.006642611,0.0003349149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665398,0.002315413,0.03005096,0.0001393691,0.0003870354,0.0003663856,0.00007965227,0.00001877404,0.0001026291],"genre_scores_gemma":[0.9926047,0.000284199,0.005712904,0.0002013127,0.0002178066,0.00005432715,0.0007965151,0.0000178406,0.0001103467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02606496,"threshold_uncertainty_score":0.4912718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169764710129654,"score_gpt":0.2479118105852042,"score_spread":0.2362141634839076,"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."}}