{"id":"W2134350420","doi":"10.1097/prs.0000000000000024","title":"Using Propensity Score Analysis to Compare Major Complications between DIEP and Free Muscle-Sparing TRAM Flap Breast Reconstructions","year":2014,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; DIEP flap; Breast reconstruction; Rectus abdominis muscle; Surgery; Propensity score matching; Abdomen; Breast cancer; Logistic regression; Free flap; Body mass index; Cancer; Internal medicine","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":[0.01503191,0.0003642598,0.0007334596,0.002099484,0.0003206781,0.000797118,0.0004010144,0.0003353631,0.001533321],"category_scores_gemma":[0.03719683,0.0002499502,0.00209268,0.002214151,0.0004949044,0.0006787708,0.0008418193,0.0005783127,0.0001138183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004995558,"about_ca_system_score_gemma":0.0009362445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007447965,"about_ca_topic_score_gemma":0.0006629852,"domain_scores_codex":[0.9904402,0.006459275,0.0009400139,0.0007179036,0.001214915,0.0002275612],"domain_scores_gemma":[0.9760004,0.01462685,0.006704843,0.001501478,0.0007962058,0.0003703449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00166264,0.000108854,0.9653872,0.00009268695,0.003359271,0.0001087787,0.00008626876,0.002121332,0.0003507734,0.0006334807,0.0002969741,0.02579172],"study_design_scores_gemma":[0.000557851,0.002324125,0.9469511,0.00008605025,0.002786666,0.00114816,0.0002110208,0.04068577,0.001130954,0.002681453,0.001390596,0.00004627675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762921,0.0007683086,0.02164277,0.0001557105,0.0000386116,0.0002724097,0.0002510193,0.00003096718,0.0005481342],"genre_scores_gemma":[0.9952101,0.0001457964,0.004128757,0.00003451527,0.00002088512,0.0001294422,0.0002494829,0.000006130769,0.00007484335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01503191,"threshold_uncertainty_score":0.07949728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07220118151324237,"score_gpt":0.2752956778207192,"score_spread":0.2030944963074769,"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."}}