{"id":"W3196982414","doi":"10.1158/1055-9965.epi-21-0448","title":"Polygenic Risk Score Improves Risk Stratification and Prediction of Subsequent Thyroid Cancer after Childhood Cancer","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute","keywords":"Medicine; Interquartile range; Thyroid cancer; Confidence interval; Internal medicine; Cohort; Polygenic risk score; Relative risk; Cohort study; Population; Oncology; Cancer; Single-nucleotide polymorphism; Environmental health; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002181146,0.0006296388,0.0005128537,0.001043502,0.0003639976,0.0007820138,0.0003578705,0.0004684388,0.001848139],"category_scores_gemma":[0.006409858,0.000214754,0.001085799,0.0009364322,0.0002701253,0.0003829297,0.0007166065,0.0007632298,0.0002907853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000357714,"about_ca_system_score_gemma":0.000636003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058102,"about_ca_topic_score_gemma":0.009456595,"domain_scores_codex":[0.9989654,0.0005658344,0.00006357086,0.0002199582,0.0001071923,0.00007801555],"domain_scores_gemma":[0.9969648,0.001440947,0.0007417483,0.0003582544,0.0002464395,0.0002478733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002299112,0.00005397502,0.9880133,0.00001262196,0.0003367751,0.0000398698,0.00002711802,0.001923801,0.0002931725,0.00006407699,0.0003174046,0.008688017],"study_design_scores_gemma":[0.0000293484,0.0003621735,0.9578641,0.00002011159,0.0003894971,0.0001878064,0.00005707135,0.03987334,0.0003523247,0.0004350193,0.0004115765,0.00001758662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950052,0.0003570897,0.003277584,0.0001773883,0.00001892322,0.00001715015,0.0005239956,0.00006276944,0.0005599012],"genre_scores_gemma":[0.9982664,0.00007264252,0.000996185,0.00002126401,0.00001159648,0.000005172833,0.0004551575,0.000006507446,0.0001651479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01058102,"threshold_uncertainty_score":0.02103883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972617822576542,"score_gpt":0.3214372304164491,"score_spread":0.2917110521906837,"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."}}