{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007318168,0.0008121828,0.0003705273,0.0009668381,0.00051462,0.0009081959,0.0009192352,0.0007367908,0.00286609],"category_scores_gemma":[0.00152334,0.0003280093,0.0007108973,0.0004169883,0.0004994741,0.0007979703,0.001268856,0.001042469,0.0009249388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002470422,"about_ca_system_score_gemma":0.0006054522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003206536,"about_ca_topic_score_gemma":0.0009798664,"domain_scores_codex":[0.9994839,0.0001248096,0.00008591243,0.0001100523,0.0001344961,0.00006068839],"domain_scores_gemma":[0.9994593,0.000182546,0.0001012782,0.0001108384,0.00008148227,0.00006450932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006542525,0.0004762454,0.02970775,0.0005908673,0.0001702208,0.007812735,0.0007132898,0.04389433,0.07706443,0.008881074,0.0051925,0.8248423],"study_design_scores_gemma":[0.000622589,0.004754549,0.06174351,0.0009011733,0.0007335843,0.1850861,0.001416668,0.506039,0.08752354,0.03922866,0.1114882,0.0004624668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09075988,0.001001419,0.8966466,0.0006458724,0.0002906986,0.0004754888,0.00007329327,0.001185374,0.008921276],"genre_scores_gemma":[0.2507077,0.0006123669,0.7458123,0.0003008591,0.0002724048,0.0002121416,0.0001656362,0.0001357197,0.001780978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00286609,"threshold_uncertainty_score":0.009588003,"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."}}