{"id":"W2978583015","doi":"10.1093/asj/sjz225","title":"Response to “Periareolar Augmentation/Mastopexy: How Does it Measure Up?”","year":2019,"lang":"en","type":"letter","venue":"Aesthetic Surgery Journal","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mastopexy; Medicine; Mammaplasty; Measure (data warehouse); Surgery; Ptosis; Database","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":[0.001676626,0.0008954351,0.001115414,0.0007365366,0.004265558,0.003706159,0.00148366,0.05521724,0.008212605],"category_scores_gemma":[0.02277691,0.0007887272,0.001179872,0.0007225888,0.002449006,0.002577407,0.001708498,0.03577282,0.005075982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00482086,"about_ca_system_score_gemma":0.003461798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00480376,"about_ca_topic_score_gemma":0.007416984,"domain_scores_codex":[0.9978226,0.0005452726,0.0003051785,0.0002675805,0.0004281281,0.0006312136],"domain_scores_gemma":[0.9945595,0.002415307,0.0006580143,0.000147609,0.001111203,0.001108408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008935406,0.00005413808,0.002216154,0.00008746225,0.00002507877,0.02652436,0.0004367577,0.0001407807,0.0003503615,0.002211415,0.9590272,0.008836863],"study_design_scores_gemma":[0.0001987051,0.0002027686,0.005160906,0.0009528579,0.00009953733,0.04382469,0.002756896,0.001349641,0.0004839339,0.008899328,0.935909,0.0001615678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007990409,0.00056182,0.00006962071,0.9839711,0.01203347,0.00001169387,0.00003055342,0.00001675785,0.002505999],"genre_scores_gemma":[0.009695454,0.0008998743,0.0002673083,0.948958,0.03336035,0.00003442677,0.00003545543,0.00002844846,0.006720788],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05521724,"threshold_uncertainty_score":0.03497791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270368957666336,"score_gpt":0.2535891669637418,"score_spread":0.2265522711971082,"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."}}