{"id":"W2150039459","doi":"10.1148/rg.283075715","title":"GUIBOLD: A Graphical User Interface for Image Reconstruction and Data Analysis in Susceptibility-weighted MR Imaging","year":2008,"lang":"en","type":"article","venue":"Radiographics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Graphical user interface; Susceptibility weighted imaging; Medicine; Magnetic resonance imaging; Computer vision; Artificial intelligence; Interface (matter); Visualization; Rendering (computer graphics); Medical imaging; Iterative reconstruction; Computer science; 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":[0.003089737,0.002911701,0.001494886,0.001968867,0.0003292261,0.001319554,0.002892008,0.001543385,0.07616168],"category_scores_gemma":[0.008558635,0.001015678,0.001246355,0.000950221,0.0004532872,0.001932451,0.0022106,0.001982406,0.0237698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890537,"about_ca_system_score_gemma":0.0007456491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008932405,"about_ca_topic_score_gemma":0.0009976698,"domain_scores_codex":[0.9988506,0.000386867,0.0001495294,0.0001683964,0.0003390669,0.0001054248],"domain_scores_gemma":[0.9952571,0.003216432,0.0001628389,0.0003204845,0.0007580297,0.0002850318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002874713,0.0004927484,0.002361903,0.002121402,0.0003637938,0.00162611,0.0007254633,0.005473481,0.05570566,0.007668546,0.4162352,0.504351],"study_design_scores_gemma":[0.002484914,0.001119646,0.01174325,0.0009463715,0.0002887238,0.005265653,0.0001721344,0.1761877,0.0875251,0.01708496,0.6963581,0.0008233623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003087971,0.00056126,0.7010518,0.0002468177,0.0001972314,0.0006845986,0.005906522,0.2844004,0.003863251],"genre_scores_gemma":[0.03171149,0.0009980708,0.8884696,0.001160762,0.0002426332,0.003850171,0.01672407,0.04164751,0.01519551],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07616168,"threshold_uncertainty_score":0.2547862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032538162812247,"score_gpt":0.3504456350747761,"score_spread":0.3201202534466536,"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."}}