{"id":"W4378379595","doi":"10.1016/j.ijrobp.2023.05.033","title":"Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer","year":2023,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Dalhousie University","funders":"National Institute of Dental and Craniofacial Research; National Institutes of Health; National Cancer Institute; Australian Government; American Association of Physicists in Medicine","keywords":"Medicine; Informatics; Clinical Oncology; Cancer; Health informatics; Oncology; Consensus conference; Medical physics; Internal medicine; Nursing; Public health","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":[0.00251773,0.0002018833,0.0009561986,0.0002600414,0.0002109476,0.00001896465,0.0004180981,0.0004383562,0.00003225706],"category_scores_gemma":[0.002188062,0.000168424,0.0002342418,0.000253703,0.001275295,0.0002859694,0.0001346837,0.0006833566,0.00000211525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000736854,"about_ca_system_score_gemma":0.003273501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007561061,"about_ca_topic_score_gemma":0.0002857622,"domain_scores_codex":[0.9965498,0.0005212271,0.001841055,0.0003343766,0.000385239,0.0003682457],"domain_scores_gemma":[0.9841664,0.01038605,0.001982282,0.0002419574,0.003066908,0.0001563711],"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":[0.006625162,0.000725536,0.8452252,0.00004456772,0.001173776,0.00001129455,0.0006294358,0.000913335,0.0003917055,0.002037363,0.0266522,0.1155704],"study_design_scores_gemma":[0.04883327,0.01015281,0.1821225,0.0003255783,0.0004947234,0.00003593535,0.0005672019,0.2411152,0.0007419682,0.005672993,0.5095453,0.0003924603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960932,0.0001322271,0.02043257,0.008109596,0.003393201,0.001351006,0.005579931,0.00003863037,0.00003085817],"genre_scores_gemma":[0.6852232,0.004173455,0.2883281,0.004495611,0.005821763,0.0002677836,0.01121533,0.0001005726,0.0003742258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6631026,"threshold_uncertainty_score":0.686813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2334748015703999,"score_gpt":0.553495762617542,"score_spread":0.3200209610471421,"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."}}