{"id":"W2292146502","doi":"10.1177/1203475415587211","title":"Crescentic Back Cut","year":2015,"lang":"en","type":"article","venue":"Journal of Cutaneous Medicine and Surgery","topic":"Reconstructive Facial Surgery Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Rotation flap; Surgery; Fibrous joint; Cheek; Rotation (mathematics); Artificial intelligence; Computer science","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":[0.0003682461,0.0007886528,0.000276551,0.0009999607,0.0003825686,0.0004495052,0.0005380187,0.0005569524,0.005044213],"category_scores_gemma":[0.000958379,0.0002389959,0.0004713933,0.0003958017,0.0007751801,0.0005682167,0.0005510844,0.001270748,0.001142308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073004,"about_ca_system_score_gemma":0.0005836107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007441161,"about_ca_topic_score_gemma":0.0009169574,"domain_scores_codex":[0.9997212,0.00002436677,0.00002391123,0.00006484936,0.0001142793,0.0000512806],"domain_scores_gemma":[0.9994752,0.0001262462,0.000155443,0.00009389682,0.0000779959,0.00007119462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009965152,0.0003206372,0.01286901,0.00147917,0.0001182319,0.05972341,0.0003114357,0.001785067,0.1601458,0.007417782,0.01616714,0.7386658],"study_design_scores_gemma":[0.0003591386,0.001979154,0.01989929,0.0009077645,0.0001634475,0.7465085,0.0002963008,0.003726851,0.08107314,0.00339522,0.1415954,0.00009577846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5806447,0.04907306,0.2780948,0.003113697,0.003063857,0.0008823563,0.0005890785,0.002297533,0.08224089],"genre_scores_gemma":[0.831284,0.01355784,0.1282312,0.002199513,0.0005887048,0.0002306067,0.0004771538,0.0002396525,0.02319131],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005044213,"threshold_uncertainty_score":0.01687461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06422824933802512,"score_gpt":0.3079091259915238,"score_spread":0.2436808766534987,"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."}}