{"id":"W2902102040","doi":"10.1016/j.neurad.2018.11.002","title":"Diffusion weighted imaging may help differentiate intracranial hemangiopericytoma from meningioma","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroradiology","topic":"Soft tissue tumor case studies","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Dalhousie University","funders":"","keywords":"Hemangiopericytoma; Meningioma; Diffusion MRI; Medicine; Radiology; Intracranial tumor; Magnetic resonance imaging; Pathology","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":[0.0001452258,0.000236982,0.000797338,0.0002728657,0.0001287575,0.00001764986,0.0001779094,0.00007126838,0.0003465076],"category_scores_gemma":[0.0002878246,0.0001740709,0.0002242033,0.0002039113,0.000324945,0.00009913188,0.0001146646,0.0003693821,0.00006668786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006805771,"about_ca_system_score_gemma":0.00005230672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002131292,"about_ca_topic_score_gemma":0.000003650362,"domain_scores_codex":[0.9982955,0.0001642223,0.0006464095,0.0002562038,0.0002824273,0.0003552299],"domain_scores_gemma":[0.9985684,0.0002327576,0.0004431722,0.0002477287,0.000309059,0.0001988864],"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":[0.003620964,0.0003808867,0.2909922,0.00003474075,0.0005812308,0.02261491,0.00137674,2.524096e-7,0.6505095,0.00007009463,0.01276698,0.01705148],"study_design_scores_gemma":[0.006456479,0.003411163,0.9235436,0.000197945,0.0006728474,0.04105389,0.0002329831,0.0006948826,0.01173992,0.0005826789,0.01111364,0.0003000144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922187,0.001039819,0.0004210933,0.003713741,0.001981009,0.0001255917,0.000006678574,0.00005106465,0.000442258],"genre_scores_gemma":[0.9934903,0.0001225918,0.001659519,0.000796003,0.003777394,0.000002014251,0.000004865483,0.00003605088,0.0001112003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6387696,"threshold_uncertainty_score":0.7098405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536857134641953,"score_gpt":0.2814519368621967,"score_spread":0.2660833655157772,"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."}}