{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006783181,0.00127035,0.001355325,0.007474529,0.0003331069,0.001227878,0.001989599,0.001360601,0.04219517],"category_scores_gemma":[0.00489004,0.0004826153,0.0004860888,0.005954751,0.0002115127,0.00125987,0.001177346,0.0005311372,0.02499469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006753139,"about_ca_system_score_gemma":0.001440978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006600406,"about_ca_topic_score_gemma":0.01081115,"domain_scores_codex":[0.999423,0.00005380397,0.0001688252,0.0001204386,0.000180793,0.00005324595],"domain_scores_gemma":[0.9967018,0.0006069784,0.0004825228,0.0007525805,0.00112272,0.0003334312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002420874,0.0004672312,0.02257341,0.003773717,0.0004013444,0.002167775,0.0002113862,0.001837578,0.01038433,0.0009259635,0.6700983,0.284738],"study_design_scores_gemma":[0.001016564,0.0004207752,0.2372852,0.0008455523,0.0006562251,0.01131428,0.0005000824,0.01151719,0.02400363,0.002896182,0.7092002,0.0003442186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.02116195,0.001475172,0.005550579,0.0002957444,0.00007889508,0.0003773916,0.9589412,0.00629052,0.005828687],"genre_scores_gemma":[0.03216518,0.0006957398,0.008233268,0.0001046409,0.00005485349,0.0003659462,0.9557238,0.0004447771,0.002211932],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04219517,"threshold_uncertainty_score":0.1411569,"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."}}