{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001016398,0.0001594701,0.0009288725,0.0004684201,0.00002800898,0.00001126578,0.00005256336,0.00009841676,0.0003088323],"category_scores_gemma":[0.001604839,0.000107745,0.0001678322,0.0002125377,0.000280853,0.0001187918,0.00001794793,0.000303515,0.00001531768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007125834,"about_ca_system_score_gemma":0.0003480315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002021313,"about_ca_topic_score_gemma":0.000001483422,"domain_scores_codex":[0.998235,0.00008585961,0.0007889112,0.0001244152,0.0005429308,0.0002228743],"domain_scores_gemma":[0.9977632,0.0005253628,0.0003985644,0.0001488865,0.0005793003,0.0005846486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001015021,0.0001034296,0.5471139,0.0001184068,0.0001738322,0.006614309,0.0003206164,4.445566e-7,0.002114166,0.00005671323,0.4100546,0.03231456],"study_design_scores_gemma":[0.002469507,0.002884512,0.02943618,0.004118764,0.0007273757,0.2597941,0.002057501,0.00006064418,0.004036948,0.005177258,0.6886626,0.0005745745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813296,0.0033939,0.0002351987,0.002691689,0.001001447,0.000119907,9.567958e-7,0.00002932694,0.01119804],"genre_scores_gemma":[0.9940855,0.002022763,0.0004633416,0.001599534,0.001072446,7.354059e-7,0.000002256179,0.00002448141,0.0007289419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5176777,"threshold_uncertainty_score":0.4393713,"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."}}