{"id":"W3087295871","doi":"10.1093/dote/doaa101","title":"Fit-for-Discharge Criteria after Esophagectomy: An International Expert Delphi Consensus","year":2020,"lang":"en","type":"article","venue":"Diseases of the Esophagus","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Toronto General Hospital; Montreal General Hospital; University of Toronto","funders":"","keywords":"Medicine; Delphi method; Esophagectomy; Delphi; Preparedness; Likert scale; Intensive care medicine; Descriptive statistics; Emergency medicine; Esophageal cancer; Internal medicine; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003010001,0.0001367757,0.0001837882,0.00005639894,0.0002351253,0.0001032892,0.001308111,0.00008035969,0.0009810898],"category_scores_gemma":[0.001693845,0.0001119471,0.0002293148,0.0002322104,0.0005129495,0.0002088868,0.0002397547,0.0001088951,0.00001817096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006756303,"about_ca_system_score_gemma":0.0002375109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002628315,"about_ca_topic_score_gemma":0.00003460227,"domain_scores_codex":[0.9981412,0.0002638123,0.0002641259,0.0003161594,0.0006820936,0.0003325829],"domain_scores_gemma":[0.9986672,0.0002428772,0.000106208,0.0003816902,0.0002741572,0.0003279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007123998,0.002482719,0.5845145,0.0003937176,0.0006816632,0.0003000615,0.05659389,0.00008296212,0.001873716,0.05140448,0.2755384,0.01900984],"study_design_scores_gemma":[0.01005337,0.001771224,0.7435023,0.0006894405,0.0005411058,0.00001646754,0.02437398,0.01692164,0.03977594,0.05544271,0.1031652,0.003746551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7859046,0.05943044,0.0006476453,0.1329601,0.005205658,0.006047821,0.005442198,0.001251113,0.003110358],"genre_scores_gemma":[0.9965161,0.00003877183,0.0008358884,0.001420764,0.0007283926,0.0002226775,0.00001758365,0.00002529483,0.0001945225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2106114,"threshold_uncertainty_score":0.9999322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262381061863699,"score_gpt":0.4522788544907417,"score_spread":0.3260407483043718,"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."}}