{"id":"W4414430602","doi":"10.2196/73765","title":"Predicting Lymph Node Metastasis in Rectal Cancer: Development and Validation of a Machine Learning Model Using Clinical Data","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predictive modelling; Area under curve; Patient data; Lymph node metastasis; Computed tomography; Clinical Practice; Logistic regression; Text mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01158912,0.0007672525,0.0006128008,0.001865816,0.0003367434,0.001048098,0.0008144167,0.0006559723,0.0005037896],"category_scores_gemma":[0.0178697,0.0002120026,0.0008054007,0.000867604,0.0004258665,0.0006117011,0.0007587876,0.000992501,0.000300181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007422931,"about_ca_system_score_gemma":0.00131326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002862576,"about_ca_topic_score_gemma":0.001811361,"domain_scores_codex":[0.9975855,0.001377102,0.0002036025,0.0003746779,0.0003467285,0.000112334],"domain_scores_gemma":[0.9891952,0.007963448,0.0008026366,0.0004896065,0.001283151,0.0002658996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00107252,0.0007832682,0.7215446,0.0001601542,0.0004482208,0.0001771812,0.0001616813,0.1816663,0.001309094,0.0002887491,0.001350594,0.09103758],"study_design_scores_gemma":[0.00005966028,0.0006175956,0.05283552,0.00005747101,0.0001243506,0.0001441457,0.00007648816,0.9433552,0.001710247,0.0005331837,0.000467927,0.00001824499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598463,0.0004981186,0.03790301,0.0002984475,0.00003405486,0.0001678322,0.000540165,0.0001636407,0.0005484841],"genre_scores_gemma":[0.984026,0.0001076935,0.01483763,0.00003483948,0.00001774646,0.00009720284,0.000764159,0.000008785217,0.0001059816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158912,"threshold_uncertainty_score":0.06128979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039732204944129,"score_gpt":0.4195714055780534,"score_spread":0.3155981850836405,"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."}}