{"id":"W2074476973","doi":"10.1016/j.bjps.2010.04.030","title":"Patients’ preferences for breast reconstruction: A discrete choice experiment","year":2010,"lang":"en","type":"article","venue":"Journal of Plastic Reconstructive & Aesthetic Surgery","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Multinomial logistic regression; Preference; Breast reconstruction; Mastectomy; Modalities; Discrete choice; Complication; Medicine; Logistic regression; Term (time); Surgery; Breast cancer; Statistics; Internal medicine; Mathematics; Cancer","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":[],"consensus_categories":[],"category_scores_codex":[0.0005043487,0.0003232193,0.0008865167,0.0005273719,0.0001627139,0.0000615078,0.0001260416,0.0002372725,0.0004041201],"category_scores_gemma":[0.0003453231,0.0002396916,0.0007032331,0.0002138353,0.0005170674,0.0004022643,0.00002134602,0.0006344482,0.00001024193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009171932,"about_ca_system_score_gemma":0.0005820483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008393929,"about_ca_topic_score_gemma":0.000007785579,"domain_scores_codex":[0.9976096,0.00008052217,0.001175019,0.0003156685,0.0004216509,0.0003975198],"domain_scores_gemma":[0.9959294,0.001313819,0.001169377,0.0002187526,0.0009880387,0.0003805672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.001007207,0.0001447207,0.315871,0.0000454463,0.0001737517,0.000008795857,0.00007506136,0.000001386925,0.0005630832,0.00006843489,0.0003948576,0.6816462],"study_design_scores_gemma":[0.004102258,0.0006976631,0.4504751,0.0009031949,0.0005437434,0.537582,0.0008030842,0.00007522501,0.002026841,0.001099858,0.001175619,0.0005154117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864085,0.00006917743,0.0005603636,0.0001694489,0.01192808,0.0003759426,0.00008944114,0.00002781726,0.0003712121],"genre_scores_gemma":[0.9941638,0.00002238658,0.004722774,0.00001607659,0.0009561964,0.00002458523,0.00001362041,0.00003455372,0.0000460842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6811308,"threshold_uncertainty_score":0.9774338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860135695818202,"score_gpt":0.2580447674964131,"score_spread":0.2394434105382311,"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."}}