{"id":"W4386698727","doi":"10.1101/2023.09.12.23295454","title":"Development and Standardization of a Classification System for Osteoradionecrosis: Implementation of a Risk-Based Model","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Oral health in cancer treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"National Institute of Dental and Craniofacial Research; Elekta; University of Texas MD Anderson Cancer Center; National Cancer Institute; National Institutes of Health; Siemens Healthineers; Amgen","keywords":"Osteoradionecrosis; Medicine; Logistic regression; Receiver operating characteristic; Head and neck cancer; Stage (stratigraphy); Internal medicine; Oncology; Cancer; Radiation therapy","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":[0.0007917332,0.0001672208,0.0004973661,0.0002184958,0.00005527426,0.000006237975,0.00005268819,0.0001427593,0.000001813241],"category_scores_gemma":[0.00005136765,0.0001546614,0.00007278477,0.0001266093,0.0000345523,0.00001934876,0.00004273614,0.00009583554,6.066141e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007579468,"about_ca_system_score_gemma":0.001387509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001409618,"about_ca_topic_score_gemma":0.0002040115,"domain_scores_codex":[0.9982662,0.00005048977,0.0008234926,0.0003472372,0.0003556233,0.0001570176],"domain_scores_gemma":[0.9982224,0.00008762108,0.0008961135,0.0003170822,0.0003927103,0.00008410727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003317607,0.0005033891,0.7502141,0.1052447,0.001023376,0.000003779531,0.01392111,0.03882775,0.009331503,0.002038207,0.0002953202,0.07527915],"study_design_scores_gemma":[0.01014209,0.0007083882,0.4507326,0.00649378,0.00165453,0.000002465625,0.005778814,0.2123242,0.3110436,0.0004018358,0.0002896085,0.0004280893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8312037,0.0002005412,0.1649676,0.0002820753,0.0001919858,0.002316898,0.0007627554,0.00006684723,0.000007630948],"genre_scores_gemma":[0.91839,0.00007954797,0.07985815,0.000009442158,0.00002672775,0.001014931,0.0005753577,0.00003726176,0.000008605623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3017121,"threshold_uncertainty_score":0.6306908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243394484323035,"score_gpt":0.4045843282292384,"score_spread":0.2802448797969349,"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."}}