{"id":"W2905165331","doi":"10.1002/jso.25325","title":"A cost‐effectiveness analysis of DIEP vs free MS‐TRAM flap for microsurgical breast reconstruction","year":2018,"lang":"en","type":"article","venue":"Journal of Surgical Oncology","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; St. Michael's Hospital; University of Toronto","funders":"Institute of Cancer Research; Canadian Cancer Society","keywords":"DIEP flap; Medicine; Breast reconstruction; Surgery; Free flap; Abdomen; Patient satisfaction; Rectus abdominis muscle; Cost analysis; Abdominal Hernia; Abdominal wall; Breast cancer; Cancer; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003863938,0.0009256794,0.001598155,0.00245151,0.0001726079,0.001105954,0.0006425266,0.0006398463,0.003158504],"category_scores_gemma":[0.01100274,0.0003976257,0.005195125,0.001316531,0.0002890608,0.0007937636,0.0006398521,0.0007080684,0.0001016232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003266519,"about_ca_system_score_gemma":0.0009667562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582242,"about_ca_topic_score_gemma":0.001933871,"domain_scores_codex":[0.9968207,0.00229072,0.0001674233,0.0001617549,0.0003737348,0.0001856374],"domain_scores_gemma":[0.9948607,0.004331063,0.0004103667,0.00005541374,0.0001831243,0.0001593334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.1680682,0.004580411,0.2075598,0.01217296,0.05154423,0.001543874,0.0002558271,0.2799947,0.0052057,0.007100224,0.002492355,0.2594818],"study_design_scores_gemma":[0.01932466,0.06965759,0.32157,0.002602784,0.06398727,0.003693803,0.001178961,0.5025753,0.004804505,0.005120008,0.005119637,0.0003654114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688738,0.02144166,0.004498687,0.0005169366,0.00009484581,0.001003018,0.001319275,0.000029512,0.002222362],"genre_scores_gemma":[0.9964561,0.001414628,0.001376985,0.00005368289,0.00002377962,0.0002363512,0.0003109955,0.000003705048,0.0001237966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003863938,"threshold_uncertainty_score":0.0237003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888000328601973,"score_gpt":0.3484546744581468,"score_spread":0.319574671172127,"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."}}