{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001863635,0.0008001717,0.001765248,0.002185046,0.0001816305,0.001139097,0.001069374,0.001031019,0.002404307],"category_scores_gemma":[0.003233762,0.0002806355,0.001170497,0.001698671,0.0003555142,0.001100273,0.0006125047,0.00167496,0.0009008903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101763,"about_ca_system_score_gemma":0.001749118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001994719,"about_ca_topic_score_gemma":0.003206093,"domain_scores_codex":[0.9994814,0.0001578738,0.00008473366,0.0000637799,0.0001757605,0.00003648362],"domain_scores_gemma":[0.9988688,0.0006708757,0.0001401292,0.00002257287,0.0002592267,0.00003842016],"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":[0.00009512353,0.00003634356,0.000454375,0.01983218,0.0002925184,0.00005852622,0.00003985991,0.0002605154,0.000376563,0.001808879,0.01680558,0.9599395],"study_design_scores_gemma":[0.0001564425,0.0003428407,0.005444221,0.03821281,0.00158274,0.00153689,0.0001560045,0.0006529001,0.0007939087,0.005023249,0.9460275,0.00007057619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001130709,0.9988868,0.0001142605,0.0004308769,0.0001091632,0.000005689386,0.00001897001,0.000006596865,0.0003145764],"genre_scores_gemma":[0.001364975,0.9977294,0.0003287739,0.0002344312,0.00009448129,0.00001239419,0.00004552624,0.000001991818,0.0001880528],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002404307,"threshold_uncertainty_score":0.009855926,"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."}}