{"id":"W2165702053","doi":"10.1634/theoncologist.2012-0316","title":"Recursive Partitioning Analysis for the Prediction of Stereotactic Radiosurgery Brain Metastases Lesion Control","year":2013,"lang":"en","type":"article","venue":"The Oncologist","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Radiosurgery; Medicine; Recursive partitioning; Lesion; Radiology; Medical physics; Internal medicine; Pathology; 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":[0.0009065024,0.0001103844,0.0003832872,0.00007175634,0.0002159461,0.00002342413,0.00007775646,0.00004103753,0.0002696356],"category_scores_gemma":[0.000630385,0.00005082932,0.0003396661,0.0002866278,0.0002105073,0.00006394599,0.00001550574,0.00008749923,0.00001069884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008516476,"about_ca_system_score_gemma":0.00005776338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004535513,"about_ca_topic_score_gemma":0.00004927794,"domain_scores_codex":[0.9989352,0.0002550274,0.0003060322,0.0001566707,0.0001699937,0.0001770864],"domain_scores_gemma":[0.9957199,0.003469222,0.00025441,0.0003560781,0.0001500612,0.0000503943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006734012,0.005320881,0.3588356,0.0004601065,0.07286195,0.000105986,0.002718158,0.01528596,0.008094191,0.01260927,0.2831333,0.2338406],"study_design_scores_gemma":[0.01172395,0.005213114,0.8820314,0.0001483737,0.04082402,0.0001174896,0.004050963,0.02222222,0.004903255,0.002328591,0.02614956,0.0002870349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7966684,0.00378147,0.09436249,0.09588116,0.0006282902,0.00691406,0.0009034626,0.0001156792,0.0007449797],"genre_scores_gemma":[0.9973843,0.00007428078,0.0005608493,0.0009717267,0.0001141206,0.0004653962,0.0001008086,0.000009036724,0.000319528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5231958,"threshold_uncertainty_score":0.295232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06091035380502197,"score_gpt":0.317319689770019,"score_spread":0.256409335964997,"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."}}