{"id":"W2983720088","doi":"10.1093/neuonc/noz175.479","title":"HOUT-14. PROGNOSTIC IMPACT OF FIRST PSEUDOPROGRESSION ON MRI IN GLIOBLASTOMA, AN 11 YEARS EXPERIENCE FROM A CANADIAN UNIVERSITY CENTER","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Glioblastoma; Cohort; Incidence (geometry); Radiation therapy; Internal medicine; Tumor progression; Oncology; Nuclear medicine; Cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005399127,0.0002234172,0.000190448,0.001093078,0.001595331,0.0009627279,0.000563785,0.000326531,0.001531613],"category_scores_gemma":[0.002462996,0.0001555878,0.0002743885,0.001518591,0.0004748133,0.0004218067,0.0006183093,0.0004614948,0.000308261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006603965,"about_ca_system_score_gemma":0.008292641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6894367,"about_ca_topic_score_gemma":0.7956102,"domain_scores_codex":[0.9995066,0.00003644622,0.00002888809,0.0000569784,0.000156736,0.0002144295],"domain_scores_gemma":[0.9979466,0.00008201519,0.0005506159,0.00005184827,0.0006833306,0.0006856833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006106361,0.00001732384,0.9935017,0.00001099619,0.00001317529,0.0003037243,0.0002747854,0.00003853225,0.0001261875,0.00001938571,0.0006691716,0.004964049],"study_design_scores_gemma":[0.000002324093,0.00004095103,0.99788,0.00002105955,0.000014289,0.0005092003,0.0005287154,0.00007721334,0.00006735515,0.00001262333,0.0008384295,0.000007901031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996372,0.0006874257,0.00004093651,0.0003254762,0.00001502007,0.00001753566,0.0009169357,0.000005980756,0.001618844],"genre_scores_gemma":[0.9979203,0.0004678833,0.00006671315,0.00007028929,0.00001854346,0.000006797489,0.0009150699,0.000005018147,0.0005293979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3105633,"threshold_uncertainty_score":0.6247845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012044571287049,"score_gpt":0.2804376803537069,"score_spread":0.2683931090666579,"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."}}