{"id":"W2091230935","doi":"10.1002/humu.22008","title":"HGV2011: Personalized genomic medicine meets the incidentalome","year":2011,"lang":"en","type":"article","venue":"Human Mutation","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"National Cancer Institute; National Human Genome Research Institute; University of Toronto; University of Leicester; DNA Genotek","keywords":"Hum; Biology; Human genome; Human genetic variation; Personal genomics; Genome-wide association study; Personalized medicine; Variation (astronomy); Computational biology; Precision medicine; Genome; Data science; Whole genome sequencing; Genomics; Genetics; Single-nucleotide polymorphism; Gene; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01255698,0.0009738837,0.001308181,0.001660107,0.001136416,0.003809758,0.002706253,0.006660001,0.02873109],"category_scores_gemma":[0.02731434,0.0008818364,0.0009464758,0.00182146,0.001238711,0.003503076,0.005693512,0.00430669,0.00686554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159977,"about_ca_system_score_gemma":0.003968681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00454957,"about_ca_topic_score_gemma":0.01179332,"domain_scores_codex":[0.9958403,0.002456148,0.0001465271,0.0004323274,0.0006729364,0.0004517348],"domain_scores_gemma":[0.9812324,0.01038668,0.0004848869,0.00256255,0.001834877,0.003498718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004079023,0.00003662123,0.003058587,0.0002778258,0.00009993949,0.0003057303,0.0001009354,0.001620823,0.002035188,0.01126083,0.7530417,0.2277538],"study_design_scores_gemma":[0.0003575721,0.0001409498,0.008666042,0.0004995881,0.0001201658,0.0009102354,0.0002002193,0.006620815,0.003161206,0.139071,0.8401432,0.0001089298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01661201,0.03045125,0.2056952,0.6177096,0.03683233,0.0003239659,0.03723083,0.01497732,0.04016738],"genre_scores_gemma":[0.1597081,0.02818695,0.4194099,0.1613267,0.06203623,0.00104254,0.1106447,0.008634949,0.04900993],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02873109,"threshold_uncertainty_score":0.09611505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241842088261827,"score_gpt":0.2517322535957651,"score_spread":0.2193138327131468,"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."}}