{"id":"W2956814090","doi":"10.1007/s10439-019-02317-x","title":"Magnetic Resonance Navigation for Targeted Embolization in a Two-Level Bifurcation Phantom","year":2019,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Clinical Research Institute; Université de Montréal; Siemens (Canada); Polytechnique Montréal; University of British Columbia; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Imaging phantom; Magnetic resonance imaging; Bifurcation; Distribution (mathematics); Nuclear medicine; Biomedical engineering; Physics; Simulation; Computer science; Mathematics; Medicine; Radiology; Mathematical analysis","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":[0.0008183662,0.0002988412,0.0002942695,0.0005039716,0.0002968498,0.0007881679,0.0003474987,0.001445384,0.001883232],"category_scores_gemma":[0.002766743,0.0003658949,0.0003039571,0.0004502727,0.0002816826,0.0005380335,0.0005904073,0.0005288644,0.0003136706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005172971,"about_ca_system_score_gemma":0.001402823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773858,"about_ca_topic_score_gemma":0.001503779,"domain_scores_codex":[0.9998216,0.0000770167,0.00001524315,0.00002552774,0.00003263603,0.00002797136],"domain_scores_gemma":[0.9994411,0.0003714479,0.0000486771,0.00005628534,0.00003971226,0.0000428173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004460714,0.0007932329,0.03148485,0.0009186638,0.0001929953,0.01106704,0.001629752,0.1226935,0.6996192,0.01222567,0.006705949,0.1082084],"study_design_scores_gemma":[0.0008063632,0.003060674,0.0450746,0.0003073466,0.0005720385,0.01724835,0.0003320836,0.6737682,0.2326302,0.005059802,0.02076489,0.0003756264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6444322,0.001971583,0.3345435,0.003695441,0.0001929619,0.0003254935,0.0008835394,0.001737754,0.01221749],"genre_scores_gemma":[0.8688077,0.0005224043,0.1275015,0.0004657153,0.00005141068,0.0001575192,0.0003257653,0.000166055,0.002001861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001883232,"threshold_uncertainty_score":0.006300032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06377125224995044,"score_gpt":0.3021354784469967,"score_spread":0.2383642261970462,"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."}}