{"id":"W2613219028","doi":"10.1055/s-2006-955121","title":"Decision Analysis Model for Facial Composite Tissue Allotransplantation","year":2006,"lang":"en","type":"article","venue":"Journal of Reconstructive Microsurgery","topic":"Organ and Tissue Transplantation Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Allotransplantation; Medicine; Disfigurement; Quality of life (healthcare); Surgery; Quality-adjusted life year; Decision analysis; Transplantation; Risk analysis (engineering); Statistics; Cost effectiveness","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":[0.0003929205,0.0001259634,0.0005257807,0.0007915535,0.00008690964,0.00003701724,0.00006379031,0.00009089123,0.00007895871],"category_scores_gemma":[0.00002473022,0.0001077145,0.0003840359,0.0004070402,0.00009747493,0.000169263,0.000003662612,0.0001723479,0.000006256306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007120561,"about_ca_system_score_gemma":0.0001811423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001495715,"about_ca_topic_score_gemma":0.00003288822,"domain_scores_codex":[0.9986433,0.00003455965,0.0006646824,0.0001495667,0.0003113895,0.00019653],"domain_scores_gemma":[0.9986014,0.000333142,0.000301493,0.00008695546,0.0005681347,0.0001088814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004992149,0.000244153,0.3634414,0.0001621538,0.001157335,0.0001837774,0.0003345996,0.004543969,0.5593598,0.0001897823,0.00100401,0.06438691],"study_design_scores_gemma":[0.01002177,0.0006108969,0.5077411,0.000451273,0.005630997,0.004282566,0.0001961029,0.02064885,0.4434795,0.003851559,0.00251149,0.0005739248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.71143,0.0001832236,0.2876531,0.0001146773,0.0001699871,0.000160711,0.000133513,0.000007823447,0.0001469784],"genre_scores_gemma":[0.9498087,0.000152603,0.0492972,0.00004108628,0.0001936788,0.000002598989,0.00007974098,0.00001621454,0.0004082045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2383787,"threshold_uncertainty_score":0.4392471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976905685802051,"score_gpt":0.3166633881648703,"score_spread":0.2968943313068498,"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."}}