{"id":"W2973194618","doi":"10.1016/j.ijrobp.2019.06.2313","title":"Quantitative Assessment of Tumor Dynamics using Serial MRIs during Post-Operative Radiotherapy of Glioblastoma","year":2019,"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; University of Toronto; University Health Network; Sunnybrook Hospital; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Radiation therapy; Nuclear medicine; Glioblastoma; Voxel; Radiation treatment planning; Radiology","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":[0.0002156052,0.0001782336,0.0001654731,0.0005917507,0.00009818476,0.0003069706,0.0001539741,0.0002308976,0.0005687128],"category_scores_gemma":[0.0007885232,0.00013331,0.0001176412,0.0002568607,0.0001360222,0.0002542468,0.0001378217,0.0002228934,0.0001514619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592084,"about_ca_system_score_gemma":0.0001513258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235356,"about_ca_topic_score_gemma":0.001569222,"domain_scores_codex":[0.9999471,0.00001044797,0.000004496773,0.000009869384,0.00001522484,0.00001282065],"domain_scores_gemma":[0.9997258,0.0000760203,0.00008506931,0.00001878312,0.00005862423,0.00003572459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006881574,0.0002293747,0.09683967,0.0002261509,0.000115368,0.001119813,0.0005699524,0.003315854,0.81785,0.0001755038,0.0004911573,0.07218556],"study_design_scores_gemma":[0.00003144117,0.002011756,0.8358047,0.00002755402,0.0002097806,0.002241299,0.0004005953,0.01346447,0.143843,0.0001763975,0.001737879,0.00005111111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964153,0.0005646928,0.002308968,0.00002609383,0.00001183109,0.0000118356,0.0001322412,0.00004084902,0.0004881752],"genre_scores_gemma":[0.9986809,0.0002242829,0.000660875,0.000009709569,0.00001122245,0.00001176442,0.0001031788,0.00001379861,0.0002842999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001235356,"threshold_uncertainty_score":0.002456367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553103628402814,"score_gpt":0.3671478747384459,"score_spread":0.3516168384544178,"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."}}