{"id":"W2143712853","doi":"10.1016/j.ijrobp.2008.06.197","title":"Evidence-based Treatment Margin for Intracranial Stereotactic Radiotherapy","year":2008,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Stereotactic radiotherapy; Margin (machine learning); Stereotactic radiation therapy; Radiation therapy; Radiosurgery; Medical physics; Radiology; Machine learning","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":[0.01668373,0.0008110363,0.003470621,0.00216889,0.0006165392,0.001486735,0.003112852,0.00254443,0.004338246],"category_scores_gemma":[0.04868688,0.0006329076,0.005049102,0.001391139,0.001048679,0.00139315,0.001664174,0.002602412,0.0007739846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002692361,"about_ca_system_score_gemma":0.003305508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003633854,"about_ca_topic_score_gemma":0.01015341,"domain_scores_codex":[0.9843992,0.006208148,0.004137557,0.0008334047,0.00414624,0.0002754958],"domain_scores_gemma":[0.976559,0.01340154,0.005519515,0.0009776962,0.002838538,0.000703711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01942658,0.0004142947,0.0172854,0.08457562,0.02080971,0.0002098026,0.0005079885,0.01092981,0.003327125,0.01274478,0.02271599,0.8070529],"study_design_scores_gemma":[0.0563153,0.01586981,0.1761243,0.178991,0.1278624,0.002992414,0.0008545806,0.0209936,0.007233681,0.08305811,0.329147,0.0005576499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05909279,0.853867,0.02783608,0.01937386,0.007960046,0.002617041,0.001850211,0.000230689,0.02717236],"genre_scores_gemma":[0.83514,0.08780513,0.05572671,0.01150553,0.002551049,0.002279677,0.002553042,0.0001363255,0.002302565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01668373,"threshold_uncertainty_score":0.08823305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976797392833832,"score_gpt":0.3599923949953476,"score_spread":0.3002244210670093,"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."}}