{"id":"W4408916334","doi":"10.1016/j.ejso.2025.110001","title":"Surveillance frequency in resected esophageal cancer: Towards personalization of follow-up","year":2025,"lang":"en","type":"article","venue":"European Journal of Surgical Oncology","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Personalization; Esophageal cancer; Medicine; General surgery; Cancer; Radiology; Computer science; Internal medicine; World Wide Web","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":[0.003993228,0.0001517491,0.0002299321,0.001439094,0.0001507051,0.0006640786,0.0003898467,0.000268563,0.0005357739],"category_scores_gemma":[0.01241149,0.00009670648,0.0003048838,0.001275341,0.0003195678,0.0007924221,0.0005440849,0.0003182919,0.000107085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002717822,"about_ca_system_score_gemma":0.0003793949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000605179,"about_ca_topic_score_gemma":0.0007287088,"domain_scores_codex":[0.9976225,0.001299776,0.0003400221,0.0002295844,0.0004253953,0.0000826246],"domain_scores_gemma":[0.9865731,0.005056319,0.006096328,0.0008896236,0.001020454,0.0003641313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000927965,0.00001244667,0.9616084,0.0001036026,0.00003295814,0.00007083114,0.0002020888,0.0001809038,0.0002765015,0.00007147871,0.0001349436,0.03721307],"study_design_scores_gemma":[0.000005355563,0.000253059,0.9941286,0.0001982059,0.00008215043,0.001560145,0.0003824302,0.0008233078,0.0005837492,0.0001872829,0.00178644,0.000009341941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809734,0.01104548,0.00458325,0.0007267722,0.0000411343,0.00004022498,0.0002746528,0.00003184936,0.002283174],"genre_scores_gemma":[0.9966182,0.001626154,0.001466055,0.00003486614,0.00005784448,0.00001478402,0.0001058987,0.000003054142,0.00007313608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003993228,"threshold_uncertainty_score":0.02111846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085636500485239,"score_gpt":0.3611371676819908,"score_spread":0.3302808026771384,"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."}}