{"id":"W4308998148","doi":"10.1016/j.scr.2022.102970","title":"Generation of cytochrome P450 enzyme-polymorphic human induced pluripotent stem cell lines with CYP2D6*10/CYP3A5*3C and CYP2D6*10/CYP2C19*2","year":2022,"lang":"en","type":"article","venue":"Stem Cell Research","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"Korea Evaluation Institute of Industrial Technology; Ministry of Science and ICT, South Korea; Ministry of Science ICT and Future Planning; National Research Foundation of Korea","keywords":"Biology; CYP2D6; Induced pluripotent stem cell; Cytochrome P450; Single-nucleotide polymorphism; CYP2C19; CYP3A4; Drug metabolism; Gene; Cell culture; CYP3A5; Genotype; Drug; Genetics; Enzyme; Pharmacology; Biochemistry","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003655209,0.0005092252,0.0007003521,0.00073063,0.001569463,0.00009486917,0.0008546434,0.0003512784,0.004255749],"category_scores_gemma":[0.000010456,0.0004776687,0.0001539579,0.001016103,0.000487642,0.0001551628,0.0009415875,0.002205285,0.000118404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136639,"about_ca_system_score_gemma":0.0005901217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009307708,"about_ca_topic_score_gemma":0.0000405898,"domain_scores_codex":[0.9922904,0.003086735,0.0008800993,0.001019595,0.001463144,0.001260072],"domain_scores_gemma":[0.997108,0.0005353217,0.0003774168,0.0006555278,0.0006885047,0.0006352007],"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":[0.0008605496,0.000838169,0.0004454664,0.0002852599,0.0001672068,0.0001528554,0.001759492,0.001705821,0.9802948,0.0002952111,0.007880527,0.005314649],"study_design_scores_gemma":[0.004314011,0.001438823,0.0005748075,0.00001719547,0.0001886094,0.00003866409,0.001576587,0.004981509,0.9068811,0.0000974525,0.07933424,0.0005570183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787364,0.008332285,0.00001926418,0.0004610493,0.000387154,0.001562748,0.0002885989,0.00006966287,0.01014287],"genre_scores_gemma":[0.9775231,0.0008329296,0.00005849475,0.0003103446,0.0006154142,0.0004783692,0.0001175497,0.0001092804,0.01995449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07341371,"threshold_uncertainty_score":0.9997675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3674746136622723,"score_gpt":0.4653036000068799,"score_spread":0.09782898634460763,"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."}}