{"id":"W4293802590","doi":"10.3389/fonc.2022.976959","title":"Characterization of genetic predisposition to molecular subtypes of breast cancer in Brazilian patients","year":2022,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"CHEK2; PALB2; Breast cancer; Penetrance; Germline mutation; Genetics; Germline; Cancer; Biology; Population; Gene; Mutation; Oncology; Medicine; Internal medicine; Phenotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009672113,0.00007370342,0.0001654314,0.0001899501,0.00001800435,0.000001318207,0.0001565786,0.000078246,0.00004983053],"category_scores_gemma":[0.00001445446,0.0000923113,0.00002992474,0.0002897467,0.00004435433,0.000003138387,0.0001096912,0.00006656983,2.433068e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003149299,"about_ca_system_score_gemma":0.0002325695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006117906,"about_ca_topic_score_gemma":0.0001141612,"domain_scores_codex":[0.9991265,0.0001310023,0.0002836247,0.0002187428,0.0001072119,0.0001329245],"domain_scores_gemma":[0.9996104,0.000003260223,0.0001315334,0.0001572061,0.00007235749,0.00002520528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003489341,0.0002109826,0.4213966,0.00001741961,0.00002092269,0.000001993437,0.0002992774,0.007399076,0.5509256,0.000005390541,0.0005108017,0.01886309],"study_design_scores_gemma":[0.0009121167,0.0005509842,0.9066567,0.00001118783,0.00001205867,0.000002851422,0.0001234348,0.0002388741,0.08790252,0.0000521674,0.003428964,0.0001080787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955949,0.0001788251,0.002554255,0.0002504434,0.0006528042,0.0003198836,0.0003635328,0.000001961737,0.00008343928],"genre_scores_gemma":[0.9972765,0.00006122875,0.001969423,0.0002045056,0.00002780674,0.0002070575,0.0002108123,0.00001389706,0.00002870095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4852602,"threshold_uncertainty_score":0.3764346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003096330098630909,"score_gpt":0.2449573386050574,"score_spread":0.2418610085064265,"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."}}