{"id":"W2014545843","doi":"10.1118/1.4709600","title":"Online database of clinical MR and ultrasound images of brain tumors","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Magnetic resonance imaging; Ultrasound; Medicine; Medical imaging; Radiology; Computer science; Image processing; Database; Medical physics; Artificial intelligence; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004577523,0.00009571447,0.0004633812,0.0000199858,0.00001305233,0.000001456081,0.0000531845,0.00006152771,0.0001150324],"category_scores_gemma":[0.00162206,0.00006652973,0.00009599668,0.00009720598,0.0003481862,0.00005705605,0.00005269327,0.0001612812,0.000005601174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006148522,"about_ca_system_score_gemma":0.00007331578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004751788,"about_ca_topic_score_gemma":0.000003008734,"domain_scores_codex":[0.9988334,0.0000480618,0.0003828478,0.0001305906,0.0004389343,0.0001661883],"domain_scores_gemma":[0.9982552,0.0009606361,0.0001259461,0.0002380081,0.00005166619,0.0003685674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006907887,0.008171947,0.938114,0.000269832,0.0001656323,0.00004734961,0.0001196961,1.108429e-7,0.004674484,0.000606656,0.01015105,0.03761012],"study_design_scores_gemma":[0.004726952,0.0005662951,0.90153,0.000596772,0.0003192469,0.00006578649,0.0001030421,0.00002835016,0.0901121,0.0002772049,0.001544937,0.0001293745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967987,0.0007834024,0.0001589145,0.001704947,0.00009876822,0.0001204623,0.0001189812,0.000009956611,0.0002058451],"genre_scores_gemma":[0.9979008,0.0002616736,0.0006296526,0.000507118,0.0005169885,0.000003639574,0.0001468957,0.00001093924,0.00002222729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08543761,"threshold_uncertainty_score":0.2713004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04673957055456162,"score_gpt":0.3800258433028648,"score_spread":0.3332862727483032,"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."}}