{"id":"W2970937591","doi":"10.1007/s00464-019-07069-2","title":"Can we better predict readmission for dehydration following creation of a diverting loop ileostomy: development and validation of a prediction model and web-based risk calculator","year":2019,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Receiver operating characteristic; Cohort; Incidence (geometry); Emergency medicine; Area under the curve; Internal medicine; Retrospective cohort study; Hepatology; Colectomy; Database; Colorectal cancer; Cancer","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":[0.003294839,0.0008016449,0.0009643004,0.001478614,0.0002954905,0.002387272,0.0007897948,0.001000159,0.002343064],"category_scores_gemma":[0.01984191,0.000309009,0.001226637,0.0009500209,0.0001960058,0.001718169,0.0007878236,0.001037868,0.0009075956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005459904,"about_ca_system_score_gemma":0.0009519528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005587842,"about_ca_topic_score_gemma":0.006648689,"domain_scores_codex":[0.9987363,0.0004361119,0.0001754127,0.000240268,0.0003118826,0.00009994773],"domain_scores_gemma":[0.9930668,0.003547254,0.001388456,0.0004570361,0.00113213,0.0004082878],"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":[0.0007722874,0.001266513,0.9126343,0.0001484955,0.0006113218,0.00006762757,0.0001141031,0.009130441,0.000354914,0.0003222278,0.00397316,0.07060466],"study_design_scores_gemma":[0.0004112642,0.002053066,0.585194,0.0002793463,0.001355216,0.0004764714,0.0005734465,0.3992383,0.002804887,0.003142769,0.004318214,0.000152979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.962141,0.0008830772,0.02555604,0.002868747,0.0002431974,0.0003357625,0.004225502,0.0009971528,0.002749642],"genre_scores_gemma":[0.9685573,0.000466335,0.02587965,0.0004160172,0.0001207619,0.0001823961,0.003547548,0.00006671776,0.0007631937],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005587842,"threshold_uncertainty_score":0.017425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468161475947541,"score_gpt":0.2785549145168026,"score_spread":0.2638732997573272,"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."}}