{"id":"W2902163126","doi":"10.21037/gs.2018.11.04","title":"Validation of molecular biomarkers for preoperative diagnostics of human papillary thyroid carcinoma in fine needle aspirates","year":2019,"lang":"en","type":"article","venue":"Gland Surgery","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Thyroid nodules; Thyroid carcinoma; Biomarker; Biopsy; Thyroid; Molecular diagnostics; Pathology; Thyroidectomy; Radiology; Internal medicine; Bioinformatics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001936945,0.0001164948,0.0004523304,0.0001557802,0.00001428846,0.000004521086,0.00003037748,0.00005962584,0.00004604867],"category_scores_gemma":[0.0001335465,0.00009435112,0.0001359697,0.0001590374,0.00003021429,0.00004055804,0.00001492393,0.00003600299,0.000002054254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004164227,"about_ca_system_score_gemma":0.00008982078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000154155,"about_ca_topic_score_gemma":0.00002106923,"domain_scores_codex":[0.9991485,0.00003794597,0.0003581739,0.0001720696,0.0001366256,0.0001467164],"domain_scores_gemma":[0.9989046,0.0006147348,0.0001302758,0.0001973587,0.0001099432,0.00004309013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001669372,0.0002847611,0.9563286,0.0002844996,0.0001170033,0.00001807782,0.0002204329,0.00004442931,0.04073307,0.00007282841,0.001097912,0.0006314102],"study_design_scores_gemma":[0.001672084,0.0005390419,0.5068565,0.0002186809,0.00008111022,0.00000223006,0.0001036191,0.00003150744,0.4902829,0.00006440304,0.00006162967,0.00008628892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951894,0.003585164,0.000007498458,0.0001321304,0.0001032471,0.0006318091,0.0000717004,0.000007121717,0.0002719325],"genre_scores_gemma":[0.9992561,0.000214994,0.00005947072,0.000037457,0.00002491154,0.00008776672,0.0002760987,0.00001533716,0.00002785528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4495499,"threshold_uncertainty_score":0.3847527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716732123234846,"score_gpt":0.2609058088928112,"score_spread":0.2437384876604628,"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."}}