{"id":"W2232021138","doi":"10.5604/00306657.1156331","title":"Preoperative TSH and thyroglobulin levels: would it predict thyroid cancer?","year":2015,"lang":"en","type":"article","venue":"Otolaryngologia Polska","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Thyroid cancer; Thyroglobulin; Thyroid; Internal medicine; Odds ratio; Cancer; Gastroenterology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002256638,0.0003522557,0.0005543733,0.00009200154,0.0001106479,0.00005777917,0.0001421299,0.0003312795,0.0002339632],"category_scores_gemma":[0.0001546362,0.0002624651,0.00009921761,0.0002106527,0.0002002409,0.0001827133,0.0001383509,0.000479989,0.00009668555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000345694,"about_ca_system_score_gemma":0.0004477251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007218312,"about_ca_topic_score_gemma":0.0002174223,"domain_scores_codex":[0.9981337,0.00008944002,0.000330184,0.0005914611,0.0003705122,0.0004846754],"domain_scores_gemma":[0.9986609,0.0000731679,0.0001136131,0.0004374599,0.000176597,0.0005382362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007940006,0.0008323585,0.7992696,0.000117225,0.0007450957,0.0004991576,0.002559266,0.00003141268,0.00181482,0.00127767,0.183562,0.00849739],"study_design_scores_gemma":[0.01104779,0.005734405,0.9013091,0.000414772,0.000695987,0.000429717,0.001398701,0.0002923242,0.01320795,0.0003613338,0.06439342,0.0007144745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485207,0.02027222,0.0000369246,0.01383589,0.0003314934,0.001313579,0.0002197412,0.0002093646,0.01526005],"genre_scores_gemma":[0.9906635,0.001260628,0.000680029,0.003664913,0.0003803625,0.0005624472,0.00004233146,0.00004252274,0.002703236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1191686,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06605236828780216,"score_gpt":0.3286654445434452,"score_spread":0.262613076255643,"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."}}