{"id":"W4417159157","doi":"10.1097/gox.0000000000007323","title":"Innovative Preoperative Mathematical Suggestion for Vertical Incision in Mammaplasty","year":2025,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Mammaplasty; Mastopexy; Breast reduction; Reduction (mathematics); Breast surgery","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":[0.0006133159,0.0003016633,0.0009040344,0.0003332006,0.0001315764,0.00009805694,0.0001587165,0.0002605555,0.0001709661],"category_scores_gemma":[0.002269721,0.0002510091,0.000128031,0.001255965,0.0003307621,0.0003978395,0.0001857253,0.0002885894,0.00004476064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005717723,"about_ca_system_score_gemma":0.001020673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005068288,"about_ca_topic_score_gemma":0.00007404549,"domain_scores_codex":[0.9977974,0.0001390245,0.0008228341,0.0005745558,0.0002156003,0.0004506396],"domain_scores_gemma":[0.9961746,0.002852854,0.0001138937,0.0002048416,0.0005113417,0.0001424199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008210774,0.0004771238,0.6470749,0.0003009151,0.000361433,0.00005574428,0.00009886405,0.00001647383,0.0002019746,0.0750755,0.001809312,0.2663169],"study_design_scores_gemma":[0.008132042,0.0004581212,0.8920245,0.004423851,0.0003462888,0.01416627,0.001480482,0.005248597,0.003823687,0.06865428,0.0003761447,0.000865769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701238,0.00002983636,0.01781996,0.0003582341,0.001569886,0.001863274,0.0001945871,0.00004850969,0.007991977],"genre_scores_gemma":[0.9927301,0.000004909534,0.006598178,0.00008467252,0.00008050142,0.0002358211,0.000117308,0.00001371375,0.0001347913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2654512,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574216259788991,"score_gpt":0.315359398201032,"score_spread":0.2896172356031421,"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."}}