{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01198329,0.0007199905,0.001862351,0.004648546,0.0005056334,0.003868254,0.001297256,0.002090885,0.002625831],"category_scores_gemma":[0.02582965,0.000489403,0.002381979,0.005156552,0.001924538,0.004252535,0.001723276,0.002166656,0.0004009714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201922,"about_ca_system_score_gemma":0.009167422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00393858,"about_ca_topic_score_gemma":0.008373034,"domain_scores_codex":[0.9931962,0.003559598,0.001216448,0.0004882741,0.0013275,0.0002119647],"domain_scores_gemma":[0.9516767,0.04315307,0.001710663,0.000525484,0.002670343,0.0002636255],"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":[0.0001041381,0.00006495791,0.00145645,0.2120151,0.0007804981,0.0001594114,0.0008901912,0.0006207891,0.0004427766,0.01162593,0.004803513,0.7670363],"study_design_scores_gemma":[0.00007589546,0.0004590459,0.007366498,0.5713701,0.003805862,0.001531755,0.003781396,0.001075942,0.0009108112,0.02490923,0.3845806,0.0001328049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003652774,0.9962649,0.0003920966,0.002043092,0.0001262696,0.00001847555,0.0000208345,0.000005059396,0.000763882],"genre_scores_gemma":[0.007435358,0.9896833,0.001360627,0.001154737,0.0002111817,0.00004616679,0.0000234073,0.000004114934,0.00008120858],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01198329,"threshold_uncertainty_score":0.06337446,"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."}}