{"id":"W6964557617","doi":"10.26037/yareta:yqae7s44mbfxpamktqnzeqii4u","title":"Genotypes and phenotypes of four human populations in relation to drug metabolism","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics and Genomics of Geneva; National Science Foundation; Trakya Üniversitesi; Addis Ababa University; Université de Lausanne; Univerzita Karlova v Praze; Université de Genève; Sultan Qaboos University; Grantová Agentura České Republiky; University of Bern; Institute of Genetics; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Genotype; Phenotype; Population; Drug; Relation (database); Genetic variation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001206183,0.001049893,0.001122463,0.001409156,0.0006328132,0.001467906,0.001562482,0.001410138,0.05302141],"category_scores_gemma":[0.008981548,0.0005336448,0.001005777,0.002774644,0.0003118175,0.0006042142,0.00179199,0.001308242,0.03837445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000586198,"about_ca_system_score_gemma":0.0009199143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132091,"about_ca_topic_score_gemma":0.01703838,"domain_scores_codex":[0.9992707,0.0001977109,0.0001059152,0.000224691,0.0001125363,0.00008843848],"domain_scores_gemma":[0.9967981,0.001191505,0.0004022616,0.0009557125,0.0003885783,0.0002638614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006162262,0.00007190624,0.0153744,0.0009282642,0.0002267271,0.0001422711,0.0001180148,0.0005665003,0.0003253386,0.001005887,0.9728304,0.007794057],"study_design_scores_gemma":[0.001383408,0.0001251851,0.1118678,0.001009491,0.0003584752,0.0009027537,0.0003164519,0.0007951308,0.0006400378,0.005208182,0.8772672,0.000126009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002000671,0.0001269521,0.000185668,0.0001146607,0.0000279486,0.00001553781,0.9966433,0.0001135593,0.0007717206],"genre_scores_gemma":[0.004222823,0.0001103228,0.0005166779,0.0001071038,0.00001576498,0.0001586077,0.9935493,0.00006168404,0.001257776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05302141,"threshold_uncertainty_score":0.1773742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08345787075693237,"score_gpt":0.3571981709463373,"score_spread":0.273740300189405,"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."}}