{"id":"W4417013358","doi":"10.1097/prs.0000000000012683","title":"3-Dimensional Simulation for Breast Augmentation: Does the Software Actually Work?","year":2025,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Margin (machine learning); Software; Pregnancy; Breast cancer; Breast surgery; Focus (optics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0217434,0.000778669,0.0009441331,0.001132722,0.0003160965,0.002684423,0.001491628,0.00082594,0.005309565],"category_scores_gemma":[0.110036,0.0004656439,0.001161974,0.001032094,0.001476122,0.002402754,0.001388235,0.001049207,0.002861239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006756657,"about_ca_system_score_gemma":0.00123231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001596793,"about_ca_topic_score_gemma":0.001482297,"domain_scores_codex":[0.9894691,0.006927024,0.0006339232,0.0003965965,0.002393129,0.0001802269],"domain_scores_gemma":[0.9254865,0.05638329,0.003613336,0.006481716,0.006668953,0.001366308],"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":[0.001297596,0.0003340984,0.1324008,0.0007959025,0.0003802795,0.0002128623,0.001135431,0.01578001,0.002410172,0.003942753,0.01382274,0.8274874],"study_design_scores_gemma":[0.0008435922,0.005824534,0.1496419,0.008897169,0.001189536,0.00688846,0.003362466,0.5624118,0.02386168,0.06107402,0.1752081,0.0007967898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3827035,0.01579915,0.5303025,0.03362144,0.002289453,0.0008682087,0.001475706,0.009202903,0.02373711],"genre_scores_gemma":[0.6937458,0.007372872,0.2907661,0.002780388,0.0005839841,0.0005690678,0.001114349,0.001550123,0.001517351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0217434,"threshold_uncertainty_score":0.1149915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710167152686424,"score_gpt":0.2658773442535419,"score_spread":0.2487756727266777,"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."}}