{"id":"W2028733841","doi":"10.1097/rct.0b013e3181969972","title":"Comparison of Computed Tomography 3-Dimensional Volumetric Analysis of Ventricular Size to Visual Radiological Assessment","year":2009,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Royal University Hospital","funders":"","keywords":"Medicine; Radiological weapon; Voxel; Confidence interval; Nuclear medicine; Radiology; Ventricle; Cerebral Ventriculography; Hydrocephalus; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006285475,0.0003514776,0.001825076,0.004556658,0.0001216235,0.00006654333,0.0007493361,0.0001597057,0.00006922665],"category_scores_gemma":[0.0001331932,0.0002864981,0.001970939,0.01324633,0.0001659346,0.0001793427,0.0001230084,0.0004695093,0.000001325142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005918934,"about_ca_system_score_gemma":0.00008712133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005212551,"about_ca_topic_score_gemma":7.262027e-7,"domain_scores_codex":[0.9951882,0.0004488308,0.001938376,0.000466018,0.001528126,0.0004304363],"domain_scores_gemma":[0.9963164,0.0008829977,0.001448376,0.0003273062,0.0006218968,0.0004029868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001301197,0.01264468,0.6180149,0.00009797978,0.003808673,0.0005423787,0.0004634337,0.08815856,0.2304449,0.0008332604,0.004078818,0.0396112],"study_design_scores_gemma":[0.001192677,0.005173274,0.9243585,0.0000973655,0.001036116,0.0001270634,0.00001392034,0.05521531,0.01218679,0.00007901818,0.0002371916,0.0002827005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959065,0.0004591656,0.03944112,0.0001857125,0.0004939513,0.000215024,0.00002127296,0.00003310063,0.0000856093],"genre_scores_gemma":[0.9776425,0.000008624301,0.02161306,0.0005460405,0.0001680233,0.000001240162,0.000005881295,0.00001188072,0.000002712131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3063436,"threshold_uncertainty_score":0.9999587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372230180545709,"score_gpt":0.3316302532642279,"score_spread":0.3079079514587708,"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."}}