{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03437664,0.001268758,0.001347313,0.01102894,0.004957085,0.01082034,0.005710627,0.003940824,0.002246387],"category_scores_gemma":[0.07050683,0.001092871,0.003438249,0.0114774,0.008908361,0.01468791,0.01137776,0.00498392,0.001182931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01116616,"about_ca_system_score_gemma":0.04579386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02769402,"about_ca_topic_score_gemma":0.01972563,"domain_scores_codex":[0.9656763,0.01283225,0.008599507,0.003826268,0.007623364,0.001442377],"domain_scores_gemma":[0.9394774,0.02392967,0.00664284,0.01264245,0.0137715,0.003536093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001139715,0.0002171751,0.006317222,0.00158299,0.0001730334,0.0004699463,0.0080744,0.007061176,0.003433219,0.8132163,0.05405465,0.1052859],"study_design_scores_gemma":[0.00006477825,0.00009330168,0.004022821,0.002228096,0.0001549189,0.0006784169,0.00570589,0.02149045,0.002617953,0.4453768,0.5173782,0.0001883524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01372481,0.0008252335,0.9250877,0.01952503,0.0007869801,0.003161389,0.006016002,0.003055367,0.02781734],"genre_scores_gemma":[0.07243525,0.001103577,0.8978609,0.003536836,0.0002455431,0.002822113,0.01825352,0.0006203741,0.003121834],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03437664,"threshold_uncertainty_score":0.1818032,"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."}}