{"id":"W3185975388","doi":"10.2196/27110","title":"Prediction Model of Anastomotic Leakage Among Esophageal Cancer Patients After Receiving an Esophagectomy: Machine Learning Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Esophagectomy; Logistic regression; Random forest; Framingham Risk Score; Decision tree; Esophageal cancer; Population; Internal medicine; Surgery; Machine learning; Cancer; Disease; Computer science","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":[0.003631053,0.0009326861,0.001119016,0.002646829,0.0004496837,0.001211851,0.001006568,0.0008993504,0.001349975],"category_scores_gemma":[0.007201117,0.0003412113,0.001429445,0.0008969953,0.00029463,0.0006453915,0.0006012377,0.001113473,0.0002778322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009428904,"about_ca_system_score_gemma":0.001348996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009731173,"about_ca_topic_score_gemma":0.00415642,"domain_scores_codex":[0.999038,0.0003860877,0.0001042638,0.0002288395,0.0001224215,0.0001205082],"domain_scores_gemma":[0.9952599,0.003477333,0.000444059,0.00009304831,0.0005071298,0.00021849],"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":[0.0006067071,0.0006091845,0.6067873,0.0000889871,0.0004503224,0.0003844474,0.0001488214,0.3393026,0.0005002439,0.0006151531,0.002104549,0.04840157],"study_design_scores_gemma":[0.00001548991,0.00009860799,0.01478587,0.00001256337,0.00006010043,0.00006000891,0.00003827827,0.9843119,0.00008488551,0.0004518667,0.00006969823,0.00001063742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201213,0.0005642777,0.07548466,0.001491405,0.00007811678,0.0001594662,0.000921122,0.000326164,0.0008535002],"genre_scores_gemma":[0.9899842,0.0001191508,0.008632933,0.00005537256,0.00004626189,0.00008556949,0.0007565433,0.000007473314,0.000312452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009731173,"threshold_uncertainty_score":0.01934904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120114643842309,"score_gpt":0.2996947554531287,"score_spread":0.2784936090147057,"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."}}