{"id":"W1492687050","doi":"10.5539/cco.v4n2p1","title":"Methylation Markers for Early Detection and Differentiation of Follicular Thyroid Cancer Subtypes","year":2015,"lang":"en","type":"article","venue":"Cancer and Clinical Oncology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"CDKN2A; Methylation; Thyroid cancer; Follicular thyroid cancer; Cancer; DNA methylation; Thyroid; Medicine; Papillary thyroid cancer; Follicular phase; Cancer research; Oncology; Internal medicine; Pathology; Biology; Gene; Genetics; Gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903202,0.00008597141,0.0003902811,0.00003547959,0.00002961087,0.000005101845,0.00001850816,0.0001574927,0.00001423836],"category_scores_gemma":[0.0001191888,0.00006608398,0.00008223808,0.00005574623,0.00009148121,0.00004447858,0.00001494048,0.00007938578,4.210542e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536474,"about_ca_system_score_gemma":0.0001800754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006589413,"about_ca_topic_score_gemma":0.0009040767,"domain_scores_codex":[0.9992056,0.0000567825,0.0003224284,0.0002213914,0.00008444547,0.0001093714],"domain_scores_gemma":[0.9991664,0.0002747412,0.0001712929,0.00008141946,0.0001541955,0.0001519498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002363577,0.0002259529,0.4887313,0.00006344044,0.0003755041,0.000001509946,0.0001585405,0.000004566117,0.0009800907,0.00009003814,0.0004083897,0.5065971],"study_design_scores_gemma":[0.008803869,0.005126889,0.9735683,0.00004914346,0.000929027,0.000002366303,0.00009101442,0.0005110613,0.002744259,0.0005182627,0.007569966,0.00008583416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868259,0.009898473,0.0005773855,0.00155817,0.0004829882,0.0004733098,0.0000200736,0.00001231131,0.0001513646],"genre_scores_gemma":[0.9914927,0.007467745,0.0001662188,0.0002318701,0.0002574677,0.0002671642,0.000008246849,0.000009937328,0.00009867978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5065113,"threshold_uncertainty_score":0.2694826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06983344239483663,"score_gpt":0.4115858198810119,"score_spread":0.3417523774861753,"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."}}