{"id":"W2029371408","doi":"10.1210/jc.2013-1991","title":"Whole-Transcriptome Profiling of Thyroid Nodules Identifies Expression-Based Signatures for Accurate Thyroid Cancer Diagnosis","year":2013,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia; Genome British Columbia; St. Paul's Hospital","funders":"","keywords":"Thyroid nodules; Thyroid cancer; Thyroid; Fine-needle aspiration; Pathology; Biopsy; Medicine; Gene expression profiling; Thyroidectomy; Transcriptome; Classifier (UML); Papillary thyroid cancer; Biology; Internal medicine; Gene expression; Gene; Computer science; Artificial intelligence","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":[0.0004329523,0.0001839845,0.0003378899,0.0003840879,0.0001558413,0.0005278742,0.0001426846,0.0002954454,0.0004379047],"category_scores_gemma":[0.001000236,0.0001213368,0.0001892159,0.0002470663,0.0001812559,0.0002399709,0.0002211936,0.000239189,0.0002441118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002117294,"about_ca_system_score_gemma":0.0002564391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005342069,"about_ca_topic_score_gemma":0.0009011093,"domain_scores_codex":[0.9997557,0.00004821692,0.00001636538,0.00006920515,0.00008546518,0.00002509226],"domain_scores_gemma":[0.9996487,0.000136763,0.00006495693,0.00004169039,0.0000808039,0.00002708807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002384335,0.0000489053,0.06156507,0.0001123826,0.00003971039,0.00007281484,0.00007039697,0.001162879,0.9128554,0.00006150119,0.000231058,0.02354148],"study_design_scores_gemma":[0.00002351005,0.0005203742,0.7017333,0.00004816235,0.0001719711,0.0009634262,0.0002795779,0.0374011,0.255209,0.000415686,0.003201892,0.00003207411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841459,0.001521245,0.01261973,0.0001560906,0.00001745773,0.00003446249,0.0007646965,0.0001219933,0.0006184362],"genre_scores_gemma":[0.9879109,0.0004559161,0.009893603,0.00009219218,0.00001439589,0.00003040749,0.001271877,0.00001777328,0.0003130294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005342069,"threshold_uncertainty_score":0.002289712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05078456559752461,"score_gpt":0.3830167732668796,"score_spread":0.332232207669355,"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."}}