{"id":"W4412778970","doi":"10.1177/15330338251361633","title":"Prognostic Biomarkers for Papillary Thyroid Cancer: Reducing Overtreatment, Improving Clinical Efficiency, and Enhancing Patient Experience","year":2025,"lang":"en","type":"review","venue":"Technology in Cancer Research & Treatment","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Thyroid cancer; Risk stratification; Malignancy; Papillary thyroid cancer; Precision medicine; Intensive care medicine; Oncology; Thyroid; Internal medicine; Bioinformatics; Pathology","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":[0.0007069366,0.0009735535,0.003147096,0.001919412,0.0004403015,0.00007002501,0.0003606162,0.0009530813,0.00003588745],"category_scores_gemma":[0.0006049483,0.0007052248,0.0006003857,0.001977706,0.0008426734,0.00008126979,0.0004420899,0.0008673898,0.000005886154],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008150986,"about_ca_system_score_gemma":0.004985572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004320461,"about_ca_topic_score_gemma":0.001111153,"domain_scores_codex":[0.9936199,0.0003311528,0.001591277,0.002288061,0.0005760029,0.001593647],"domain_scores_gemma":[0.9957922,0.001942954,0.0004673273,0.001196488,0.0002742909,0.0003267585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002215332,0.001719908,0.006569947,0.008830162,0.001362485,0.0003299094,0.000284958,0.000002075719,0.00002943755,0.0000729828,0.0002751447,0.9803014],"study_design_scores_gemma":[0.01693642,0.03357651,0.00074357,0.2057,0.009467167,0.0003058053,0.002100194,0.000157965,0.003784852,0.0003291968,0.7245696,0.002328682],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02051226,0.965214,0.00001108732,0.001216612,0.0004453556,0.01198219,0.0003324615,0.0001987721,0.00008733332],"genre_scores_gemma":[0.01135429,0.9264129,0.0004807792,0.00003590995,0.0001424257,0.06114866,0.00008863815,0.0001017886,0.0002346551],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9779727,"threshold_uncertainty_score":0.9995399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1187326697370194,"score_gpt":0.5046599790766149,"score_spread":0.3859273093395955,"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."}}