{"id":"W4415280191","doi":"10.5230/jgc.2025.25.e39","title":"Predicting Anastomosis or Stump Leakage After Laparoscopic Gastrectomy: A Deep Learning Approach to Intraoperative Image Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of the Korean Gastric Cancer Association","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); University Health Network","funders":"National Research Foundation of Korea; Ministry of Health and Welfare; Korean Gastric Cancer Association","keywords":"Deep learning; Leakage (economics); Clinical Practice; Laparoscopic surgery; Anastomosis; Learning curve","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":[0.0008182939,0.0002116075,0.0006937737,0.0007988361,0.0001784589,0.0001240395,0.0002345214,0.00007980028,0.0001108287],"category_scores_gemma":[0.0007751416,0.0001374874,0.0004528298,0.003714255,0.00002337506,0.0002061604,0.0001242397,0.0005741544,0.000002223632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002475718,"about_ca_system_score_gemma":0.0002739712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002501392,"about_ca_topic_score_gemma":0.0005602121,"domain_scores_codex":[0.9978496,0.0002036801,0.0006514841,0.0002428822,0.0006902675,0.0003620842],"domain_scores_gemma":[0.9982581,0.0001428069,0.0008022208,0.0002027803,0.0004724124,0.0001217444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000576612,0.0001191797,0.9805944,0.00006009885,0.002981544,0.000008602187,0.001329101,0.004193516,0.0001614015,0.000003216886,0.002544074,0.007428284],"study_design_scores_gemma":[0.002212469,0.000243134,0.9860789,0.0002159128,0.005703802,0.000007901313,0.001322047,0.003104375,0.0003175306,0.000008542297,0.0006729278,0.0001124651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838644,0.0003098567,0.008330825,0.004352459,0.0005815872,0.0005297335,0.0000127387,0.0000343133,0.001984066],"genre_scores_gemma":[0.9889038,0.0001778713,0.001696464,0.0007919178,0.0004179919,0.00004900678,0.000004955995,0.00001779257,0.007940155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007315819,"threshold_uncertainty_score":0.6473917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008225338254420534,"score_gpt":0.2759484855585427,"score_spread":0.2677231473041222,"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."}}