{"id":"W2971215256","doi":"10.1093/noajnl/vdz011","title":"Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; University of California, San Francisco; National Institutes of Health","keywords":"Meningioma; Radiomics; Overall survival; Medicine; Radiology; Medical physics; Computer science; Internal medicine","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":[0.004882567,0.001416993,0.001003359,0.002033477,0.0002975063,0.001335877,0.001181327,0.0005636109,0.001368929],"category_scores_gemma":[0.007330821,0.0004834482,0.002011921,0.0009505185,0.0003630762,0.0006810065,0.0007818785,0.0007430483,0.0003545898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111223,"about_ca_system_score_gemma":0.001112686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130032,"about_ca_topic_score_gemma":0.008403773,"domain_scores_codex":[0.9989896,0.0004000499,0.00006896318,0.0003037162,0.00008627496,0.0001514688],"domain_scores_gemma":[0.9952396,0.002998864,0.0008442006,0.0002713387,0.0004276601,0.000218245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001224867,0.0003026725,0.679828,0.00009502094,0.001619297,0.0002204372,0.00006165183,0.2925607,0.001089703,0.0004019675,0.0009919783,0.02160372],"study_design_scores_gemma":[0.0000709436,0.0003571852,0.09670621,0.00003044759,0.0005561525,0.0001746932,0.00003985565,0.8992977,0.0005174833,0.0017045,0.000507709,0.00003717011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686602,0.0008915986,0.02612166,0.0003647188,0.00004406232,0.00007134554,0.003013858,0.000256329,0.0005762608],"genre_scores_gemma":[0.9950566,0.0001126078,0.002843572,0.00002769622,0.00003870394,0.00003103392,0.001633733,0.00001352248,0.0002425592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01130032,"threshold_uncertainty_score":0.02582181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755743291944198,"score_gpt":0.2629679026763677,"score_spread":0.2454104697569257,"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."}}