{"id":"W4404155412","doi":"10.1177/22925503241292349","title":"Integrating AI into Breast Reconstruction Surgery: Exploring Opportunities, Applications, and Challenges","year":2024,"lang":"en","type":"review","venue":"Plastic Surgery","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University Health Centre","funders":"","keywords":"Breast reconstruction; Breast surgery; Medicine; Medical physics; Computer science; Breast 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008725259,0.0003882865,0.001522852,0.0008921288,0.0001519586,0.00008003322,0.00005075019,0.00028834,0.00006426796],"category_scores_gemma":[0.001779981,0.0003211718,0.0003297417,0.0003676014,0.0001175868,0.0001983325,0.00004162497,0.0006141451,0.0001274951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002661003,"about_ca_system_score_gemma":0.001654085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916109,"about_ca_topic_score_gemma":0.00003512356,"domain_scores_codex":[0.9975818,0.0001360275,0.001189841,0.0005598167,0.0002137252,0.0003187707],"domain_scores_gemma":[0.9850553,0.01389268,0.0003025499,0.0003068215,0.0001715485,0.0002711201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006120732,0.00002388881,0.00009089118,0.04935724,0.00009567818,0.00002065455,0.0001909247,2.263054e-8,5.879329e-8,0.0002876319,0.0008963977,0.9490305],"study_design_scores_gemma":[0.000003421685,0.00001179182,0.00001275574,0.05188753,0.0008810252,0.001891647,0.002397429,0.00002312351,0.000001041693,0.0002429068,0.9423568,0.0002905549],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001242574,0.9915787,0.0001443299,0.0009749471,0.006514479,0.000394247,0.00002426989,0.0001698947,0.00007488306],"genre_scores_gemma":[0.0003516098,0.9956401,0.00008276903,0.00002780142,0.002141759,0.001342324,0.0002952512,0.00007821569,0.00004014631],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9487399,"threshold_uncertainty_score":0.9999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6027090452427812,"score_gpt":0.4290947107088769,"score_spread":0.1736143345339043,"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."}}