{"id":"W3125345026","doi":"10.1002/cpt.2173","title":"StellarPGx: A Nextflow Pipeline for Calling Star Alleles in Cytochrome P450 Genes","year":2021,"lang":"en","type":"article","venue":"Clinical Pharmacology & Therapeutics","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Manitoba","funders":"GlaxoSmithKline foundation; National Research Foundation","keywords":"Genotyping; Genetics; Computational biology; 1000 Genomes Project; Biology; Haplotype; Pharmacogenomics; Genome; Gene; Allele; Genotype; Single-nucleotide polymorphism","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002981636,0.0006909639,0.001327378,0.0002336378,0.000379207,0.00005243083,0.0008554095,0.001206111,0.00198056],"category_scores_gemma":[0.0001140972,0.0007127888,0.0006647115,0.0006122803,0.0006977146,0.0001378204,0.0003426989,0.002244538,0.000167635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001190311,"about_ca_system_score_gemma":0.0007544252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006883164,"about_ca_topic_score_gemma":0.00005201834,"domain_scores_codex":[0.9926559,0.00221033,0.002066282,0.001250888,0.0003090659,0.001507569],"domain_scores_gemma":[0.9941069,0.003670227,0.0004358835,0.0004898608,0.0006252734,0.0006718329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003189659,0.005078762,0.007376092,0.0002097314,0.002371145,0.0007095665,0.0007080818,0.005443091,0.8077469,0.0003037059,0.02406222,0.142801],"study_design_scores_gemma":[0.01213027,0.0002235198,0.001949832,0.00001845906,0.001791395,0.00004794361,0.0001556535,0.06148434,0.09636354,0.001160876,0.8238935,0.0007806113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287555,0.04029784,0.003818892,0.01461061,0.009039628,0.00195786,0.0004321866,0.0002508346,0.0008366005],"genre_scores_gemma":[0.6694984,0.07677455,0.008193184,0.2345296,0.007172304,0.0005783321,0.0003452709,0.0003004155,0.00260798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7998313,"threshold_uncertainty_score":0.9995323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.342208073002502,"score_gpt":0.5455487412779744,"score_spread":0.2033406682754724,"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."}}