{"id":"W1991572775","doi":"10.3390/cancers2020885","title":"The Evolution of Biomarkers in Thyroid Cancer—From Mass Screening to a Personalized Biosignature","year":2010,"lang":"en","type":"article","venue":"Cancers","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Francisco; McGill University Health Centre; McGill University","keywords":"Medicine; Thyroid cancer; Thyroid; Thyroid nodules; Medullary thyroid cancer; Malignancy; Calcitonin; Pathology; Biomarker; Fine-needle aspiration; Population; Biopsy; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001431092,0.0001442621,0.0002433682,0.00009816602,0.0000840612,0.00001347502,0.0001269328,0.00009758329,0.0001017662],"category_scores_gemma":[0.00005574125,0.0001002083,0.0001023658,0.0004124999,0.000128375,0.00004015625,0.00002096154,0.0002257219,0.000003522163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765617,"about_ca_system_score_gemma":0.0007305842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053799,"about_ca_topic_score_gemma":0.009931983,"domain_scores_codex":[0.9989671,0.00002498149,0.000206351,0.0002774869,0.000246413,0.0002776828],"domain_scores_gemma":[0.999297,0.0001009973,0.00009092247,0.0002912483,0.0000771443,0.0001426381],"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":[0.002631138,0.00006153381,0.1940129,0.00004977417,0.0008514689,0.0000349995,0.001857339,0.00040631,0.7296692,0.001078508,0.01201644,0.05733041],"study_design_scores_gemma":[0.0173577,0.0011392,0.7069332,0.001777775,0.0007283467,0.00001114264,0.009882888,0.002354162,0.1520216,0.0006586977,0.1062986,0.0008366292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750839,0.0181737,0.0001569701,0.004578698,0.0006559458,0.0006111233,0.0001233877,0.00002751597,0.0005887378],"genre_scores_gemma":[0.9968778,0.0007100416,0.00147204,0.0003388482,0.0001701461,0.0002798751,0.00001142804,0.00001999678,0.0001198181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5776475,"threshold_uncertainty_score":0.9859843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103840702484032,"score_gpt":0.2757769063885783,"score_spread":0.2653928361401751,"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."}}