{"id":"W4323545163","doi":"10.1097/gox.0000000000004843","title":"How Big Is Too Big? Exploring the Relationship between Breast Implant Volume and Postoperative Complication Rates in Primary Breast Augmentations","year":2023,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa; Université de Montréal","funders":"","keywords":"Medicine; Implant; Odds ratio; Body mass index; Logistic regression; Univariate analysis; Mammaplasty; Surgery; Multivariate analysis; 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":[0.001817277,0.0001722237,0.0002264255,0.0009219035,0.0001571853,0.0006196169,0.0003300158,0.0003652638,0.001344114],"category_scores_gemma":[0.0126304,0.0002046585,0.0005403096,0.0008192023,0.0003464917,0.0005810036,0.0003295804,0.0005346766,0.0001333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180929,"about_ca_system_score_gemma":0.0002664476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005407729,"about_ca_topic_score_gemma":0.0007648119,"domain_scores_codex":[0.9990465,0.000384595,0.0001485142,0.0000946164,0.0002201398,0.0001057044],"domain_scores_gemma":[0.982026,0.009598341,0.006954282,0.000303712,0.0005719544,0.0005456893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006668417,0.00001031243,0.9986319,0.000005852761,0.00001915295,0.00003825283,0.00001624615,0.00002635447,0.00003905658,0.000003762763,0.00001444077,0.001128058],"study_design_scores_gemma":[0.000002865932,0.0002070004,0.9982957,0.000008142006,0.00004583485,0.000711059,0.0001297425,0.0003894669,0.0001138488,0.0000228667,0.00006943042,0.000004090482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993291,0.0003366706,0.0001159529,0.00003834392,0.000002958382,0.000003539926,0.00003761419,0.000002128892,0.0001337022],"genre_scores_gemma":[0.9997604,0.00008367933,0.00007850285,0.000008880115,0.000007089933,0.00000313445,0.00003504505,0.000001073301,0.00002213312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001817277,"threshold_uncertainty_score":0.009610772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09484876231115164,"score_gpt":0.2974899621630392,"score_spread":0.2026411998518876,"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."}}