{"id":"W2590527826","doi":"10.1097/prs.0000000000003051","title":"Predicting Complications in Immediate Alloplastic Breast Reconstruction: How Useful Is the American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator?","year":2017,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Breast reconstruction; Calculator; Surgery; Breast surgery; Quality assurance; Brier score; Cohort; General surgery; Breast cancer; Medical physics; 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":[0.009653412,0.0005043198,0.0006173759,0.002051711,0.0002604327,0.001244118,0.0008510834,0.0004337284,0.0007753422],"category_scores_gemma":[0.05660512,0.0002093012,0.0005646378,0.002142678,0.0003681678,0.0009870196,0.0007261733,0.0008190247,0.0001574708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008890917,"about_ca_system_score_gemma":0.001893028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005197917,"about_ca_topic_score_gemma":0.00470262,"domain_scores_codex":[0.9940717,0.003413122,0.0005345006,0.0002744481,0.001514309,0.0001919882],"domain_scores_gemma":[0.969086,0.0186504,0.007116918,0.00104437,0.003020277,0.001082042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001516737,0.0001128235,0.9543357,0.00003862607,0.00005427568,0.00002600116,0.00007671504,0.00191556,0.00004023986,0.00007795748,0.000605431,0.04256497],"study_design_scores_gemma":[0.00008764553,0.001198306,0.9221933,0.0002998562,0.0002054455,0.0005015838,0.0006248238,0.07229149,0.0006922031,0.0005787085,0.001273527,0.00005302552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860139,0.001253881,0.008541701,0.001777138,0.00004144522,0.000214145,0.0003480941,0.0001875007,0.001622068],"genre_scores_gemma":[0.9921014,0.0003682885,0.006984582,0.00008939744,0.0000253902,0.00005869737,0.0002947817,0.0000090699,0.00006839407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009653412,"threshold_uncertainty_score":0.05105269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303045236078347,"score_gpt":0.2980969709776466,"score_spread":0.2677924473698119,"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."}}