{"id":"W4386979753","doi":"10.1093/hmg/ddad159","title":"Investigation of common genetic risk factors between thyroid traits and breast cancer","year":2023,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Arctic Sciences; Cancer Research UK; Horizon 2020 Framework Programme; Institut National Du Cancer; Institut National de la Santé et de la Recherche Médicale; World Health Organization; European Commission; National Cancer Institute; National Institutes of Health; Government of Canada; Canadian Institutes of Health Research; Genome Canada","keywords":"Thyroid cancer; Internal medicine; Polygenic risk score; Breast cancer; Thyroid; Medicine; Locus (genetics); Endocrinology; Thyroid-stimulating hormone; Oncology; Single-nucleotide polymorphism; Biology; Genetics; Cancer; Gene; Genotype","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":[0.0006924074,0.0004691444,0.0005032125,0.001767777,0.0003936088,0.0003826182,0.0003591201,0.0003867631,0.002030389],"category_scores_gemma":[0.001717132,0.000207767,0.001147643,0.002026886,0.000392707,0.0001454702,0.00047355,0.0004397907,0.0002008199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414691,"about_ca_system_score_gemma":0.0003705321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004285767,"about_ca_topic_score_gemma":0.004130842,"domain_scores_codex":[0.9991137,0.0002855892,0.00005684281,0.0002970969,0.000122777,0.000123995],"domain_scores_gemma":[0.998508,0.000757452,0.0003396661,0.0001375372,0.00008576325,0.0001714329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005995783,0.00008584268,0.9590282,0.0001192458,0.001059905,0.001132251,0.0001726668,0.0005391455,0.02146088,0.0004140238,0.0001352201,0.01525304],"study_design_scores_gemma":[0.00001912949,0.0001494782,0.995059,0.00001228664,0.0004052252,0.0009072015,0.00006283399,0.001298594,0.001309874,0.0002733057,0.0004942394,0.000008796731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951286,0.001149438,0.002444684,0.0000700799,0.000011165,0.00002189046,0.0004404809,0.00002912052,0.0007045426],"genre_scores_gemma":[0.9971534,0.0004121686,0.001653958,0.00003204945,0.00001598605,0.00001565612,0.000387061,0.00000819002,0.0003214981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004285767,"threshold_uncertainty_score":0.008521616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462298174695928,"score_gpt":0.2799952048042986,"score_spread":0.2553722230573393,"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."}}