{"id":"W4408699140","doi":"10.1089/ct.2025;37.113-116","title":"Harnessing Rural Surgical Expertise to Tackle Inequalities in Thyroid Cancer Care","year":2025,"lang":"en","type":"article","venue":"Clinical Thyroidology","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Thyroid cancer; Inequality; Thyroid; Intensive care medicine; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.000481603,0.000196051,0.0009034536,0.0001839773,0.00009201749,0.000007984416,0.0001919861,0.00049772,0.0002459978],"category_scores_gemma":[0.0008178698,0.0001577543,0.0001798602,0.0003467852,0.0005473838,0.00006091525,0.0001086998,0.000655369,0.00003214429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002673763,"about_ca_system_score_gemma":0.0003874324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009144726,"about_ca_topic_score_gemma":0.0001883878,"domain_scores_codex":[0.9977289,0.0004439283,0.00083686,0.0004338335,0.000105255,0.000451225],"domain_scores_gemma":[0.9978137,0.001466677,0.00008595704,0.000367262,0.000100354,0.0001660537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00596848,0.0006337103,0.7644073,0.0001337469,0.000169008,0.0006425611,0.003485192,0.0001985493,0.0009660392,0.005871019,0.0178722,0.1996522],"study_design_scores_gemma":[0.02602539,0.004018396,0.2901262,0.001037631,0.0001680799,0.000216261,0.009848151,0.0003007915,0.001364943,0.004711347,0.6612855,0.0008972883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500995,0.02634429,0.0007006077,0.01206782,0.003704933,0.000433939,0.000007568343,0.00008800549,0.006553377],"genre_scores_gemma":[0.9702627,0.00378465,0.001617149,0.0171253,0.001617704,0.0001699618,0.00001636088,0.00002430372,0.005381858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6434133,"threshold_uncertainty_score":0.6433033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05984316007284872,"score_gpt":0.50210557032683,"score_spread":0.4422624102539813,"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."}}