{"id":"W3004342342","doi":"10.1101/2020.02.02.930818","title":"Generalizability of “GWAS hits” in clinical populations: Lessons from childhood cancer survivors","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; Alberta Machine Intelligence Institute; American Lebanese Syrian Associated Charities","keywords":"Generalizability theory; Genome-wide association study; Population; Meta-analysis; Cohort; Oncology; Medicine; Genetics; Biology; Bioinformatics; Psychology; Internal medicine; Single-nucleotide polymorphism; Gene; Genotype; Developmental psychology; Environmental health","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":[0.06801467,0.0009693225,0.002364595,0.001497728,0.0008908364,0.003279496,0.00226748,0.00188383,0.003541524],"category_scores_gemma":[0.2048357,0.0007329083,0.003091395,0.002425769,0.003424244,0.002064373,0.002791702,0.003685795,0.0005344722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006719118,"about_ca_system_score_gemma":0.001173992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006182419,"about_ca_topic_score_gemma":0.005007611,"domain_scores_codex":[0.9571582,0.02932343,0.002183973,0.008676412,0.002119593,0.0005384124],"domain_scores_gemma":[0.8504972,0.09535989,0.00670792,0.04130857,0.004899973,0.001226553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002342185,0.00009807266,0.8033803,0.00175605,0.03268907,0.002600767,0.003764062,0.00861494,0.004843601,0.009664551,0.01399734,0.116249],"study_design_scores_gemma":[0.0009461727,0.001490069,0.7337792,0.001821651,0.02028104,0.003529838,0.002919893,0.02113833,0.004308916,0.1726924,0.03679709,0.0002953842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6935576,0.04343334,0.2000977,0.03918484,0.001926967,0.0006133671,0.007262142,0.001422347,0.0125017],"genre_scores_gemma":[0.9819031,0.002067253,0.008372175,0.004942472,0.0005103807,0.0001752405,0.001157952,0.000224305,0.0006471999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06801467,"threshold_uncertainty_score":0.3597003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04994311932818371,"score_gpt":0.3227545666374659,"score_spread":0.2728114473092822,"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."}}