{"id":"W2753402697","doi":"10.1016/j.hpb.2017.07.013","title":"The economics of recovery after pancreatic surgery: detailed cost minimization analysis of an enhanced recovery program","year":2017,"lang":"en","type":"article","venue":"HPB","topic":"Enhanced Recovery After Surgery","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University Health Network; University of Toronto","funders":"Canadian Cancer Society Research Institute; Ontario Ministry of Research, Innovation and Science; Ontario Institute for Cancer Research; Ontario Ministry of Health and Long-Term Care; Cancer Care Ontario","keywords":"Medicine; Cost-minimization analysis; Pancreaticoduodenectomy; Retrospective cohort study; Surgery; Patient care; Total cost; Emergency medicine; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006930832,0.0002051967,0.0009936405,0.0003318867,0.0001431369,0.00008101336,0.0002127604,0.0001493701,0.0001242335],"category_scores_gemma":[0.0008947137,0.0001593505,0.0005741384,0.0003011051,0.0002173413,0.0004511876,0.0000615463,0.00011564,0.000007841624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008702952,"about_ca_system_score_gemma":0.0002055784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005974379,"about_ca_topic_score_gemma":0.0007485003,"domain_scores_codex":[0.9982169,0.0001245418,0.0008107302,0.000356698,0.000185381,0.0003057529],"domain_scores_gemma":[0.9964231,0.0006760014,0.001007125,0.001540378,0.0002335101,0.0001199368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005421761,0.0006081178,0.2440287,0.0002509956,0.004096427,0.00001755245,0.0001817768,0.0007444963,0.004228721,0.000006857941,0.000244832,0.7401698],"study_design_scores_gemma":[0.0007206444,0.000568701,0.9446597,0.0003430123,0.003288625,0.000006198248,0.00009455584,0.01197889,0.03680101,0.00006803068,0.001127352,0.0003433069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965277,0.0002017174,0.001291081,0.00005687501,0.0004734449,0.0006357593,0.00005626332,0.00003589706,0.0007212493],"genre_scores_gemma":[0.9939276,0.001639268,0.002999809,0.00007216405,0.00009305022,0.0002442342,0.0001467485,0.00003646906,0.0008406707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7398265,"threshold_uncertainty_score":0.6498126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778284913270029,"score_gpt":0.2752678467060402,"score_spread":0.2574849975733399,"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."}}