{"id":"W1992414649","doi":"10.1097/prs.0b013e3182a3bf5d","title":"Decision Regret following Breast Reconstruction","year":2013,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Women's College Hospital; University of Toronto; Canadian Society of Plastic Surgeons; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Regret; Multinomial logistic regression; Logistic regression; Patient satisfaction; Scale (ratio); Medicine; Demography; Internal medicine; Surgery; Statistics; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003365782,0.0004206075,0.0008673675,0.0007324006,0.0002610344,0.00009928124,0.0000894257,0.0003274826,0.002187637],"category_scores_gemma":[0.0004850648,0.0003584117,0.0005938953,0.0005596104,0.000322214,0.0008194547,0.00004898199,0.0004840263,0.0009233546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002186676,"about_ca_system_score_gemma":0.0003332021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000116768,"about_ca_topic_score_gemma":0.00001000931,"domain_scores_codex":[0.9972981,0.00009477579,0.0008393528,0.0006769495,0.0004442322,0.0006465765],"domain_scores_gemma":[0.9960389,0.002522597,0.0003153192,0.0003796469,0.0003082892,0.000435234],"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":[0.0002085223,0.00004273957,0.2330888,0.0000394945,0.0002144701,0.00004680643,0.00002625444,0.000001355574,0.001265099,0.00004978034,0.0008631112,0.7641535],"study_design_scores_gemma":[0.001508418,0.0000744451,0.554972,0.001497107,0.0003271335,0.4350212,0.0007525553,0.0007731167,0.00119742,0.003052455,0.0001170097,0.0007070882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840934,0.000100558,0.001496068,0.0001284465,0.01065373,0.0005102545,0.00003868737,0.0002668767,0.002712031],"genre_scores_gemma":[0.9909762,0.00002795647,0.007867887,0.00003286438,0.0006929819,0.00006959325,0.00005725388,0.0000575039,0.0002177943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7634465,"threshold_uncertainty_score":0.9998868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492376478265983,"score_gpt":0.2323036018352109,"score_spread":0.217379837052551,"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."}}