{"id":"W4297093742","doi":"10.1097/prs.0000000000009698","title":"An Algorithmic Approach to Umbilical Inset during DIEP Flap Reconstruction","year":2022,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Body Contouring and Surgery","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"DIEP flap; Medicine; Umbilicus (mollusc); Abdominoplasty; Breast reconstruction; Cosmesis; Surgery; Navel; Abdomen; Abdominal wall; Rectus abdominis muscle; Plastic surgery; Breast cancer; Cancer","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":[0.0007933095,0.0003634081,0.0008640232,0.0008430049,0.0006056236,0.00005310667,0.0001484885,0.000124625,0.0005345605],"category_scores_gemma":[0.0009765578,0.0003884534,0.0003236062,0.0007428842,0.0002174641,0.0002580065,0.0001364611,0.0007913591,0.00004689739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004984509,"about_ca_system_score_gemma":0.0004695492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007491047,"about_ca_topic_score_gemma":0.000003509036,"domain_scores_codex":[0.9967015,0.0003455897,0.000709422,0.0009592237,0.0005746375,0.0007095956],"domain_scores_gemma":[0.9971716,0.00132763,0.0001907489,0.000565187,0.0001510376,0.0005937534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003228496,0.001292977,0.7541916,0.0003459839,0.0006080668,0.0004680654,0.001330611,0.0006145251,0.01891936,0.0002615104,0.003690248,0.2150485],"study_design_scores_gemma":[0.00381527,0.0009190317,0.9299269,0.0005249329,0.0005164235,0.02793381,0.008790222,0.01409469,0.00654374,0.0005382636,0.003580408,0.002816297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923504,0.00006308207,0.0008386813,0.00008262094,0.003560109,0.0004533634,0.0001127793,0.0003139208,0.002225071],"genre_scores_gemma":[0.9944963,0.0000115789,0.003461193,0.0001039174,0.001219987,0.0003295185,0.0001031797,0.00007229286,0.0002020462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2122322,"threshold_uncertainty_score":0.9998567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821690803068069,"score_gpt":0.2353755625512785,"score_spread":0.2171586545205978,"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."}}