{"id":"W4385607509","doi":"10.3390/ijms241512459","title":"BRAF, TERT and HLA-G Status in the Papillary Thyroid Carcinoma: A Clinicopathological Association Study","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","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":"Thyroid carcinoma; Cancer research; microRNA; Thyroid cancer; Papillary thyroid cancer; Immunohistochemistry; Massive parallel sequencing; Carcinoma; Thyroid; Biology; Oncology; Medicine; Pathology; Internal medicine; Gene; Genetics; DNA sequencing","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":[0.0003988304,0.0001825818,0.000248939,0.0008091358,0.0004858882,0.0004382001,0.0001990954,0.0003303838,0.001359965],"category_scores_gemma":[0.0007528006,0.0002845009,0.0003926636,0.000885445,0.0002721175,0.0002787694,0.0003408474,0.000366661,0.00021271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002105036,"about_ca_system_score_gemma":0.0003325155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508423,"about_ca_topic_score_gemma":0.002331173,"domain_scores_codex":[0.9997628,0.00003171755,0.00002420056,0.00008722339,0.00005944738,0.00003457309],"domain_scores_gemma":[0.9996318,0.0000708972,0.00009019608,0.0000488398,0.00004978403,0.0001084214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001685084,0.00002999934,0.9949215,0.00000912853,0.00005504012,0.0006892999,0.00008176674,0.00003521277,0.002245276,0.0000273045,0.00005979222,0.001677258],"study_design_scores_gemma":[0.00001091423,0.0001274841,0.9947335,0.000003395552,0.00009425062,0.003621701,0.0001936852,0.0004097517,0.0002568938,0.00006765292,0.0004733988,0.000007481917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994618,0.0001717299,0.00009904683,0.00001581984,0.000002654736,0.000004244029,0.00005177648,0.000002216102,0.000190782],"genre_scores_gemma":[0.9996852,0.00007094664,0.00006686817,0.000006045983,0.000005518434,0.000004450854,0.0000592626,0.000001540166,0.0001003421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001508423,"threshold_uncertainty_score":0.004549563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960885153373157,"score_gpt":0.3505335151298674,"score_spread":0.3209246635961358,"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."}}