{"id":"W2942915869","doi":"10.18383/j.tom.2019.00001","title":"Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements","year":2019,"lang":"en","type":"article","venue":"Tomography","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Centre Hospitalier de l’Université de Montréal; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation","keywords":"Flip angle; Imaging phantom; Magnetic resonance imaging; Materials science; Biomedical engineering; Volumetric flow rate; Nuclear magnetic resonance; Nuclear medicine; Medicine; Physics; Radiology; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004634443,0.0008584829,0.0004476343,0.0007136189,0.0002499188,0.0007022661,0.0007773868,0.0006482154,0.001143446],"category_scores_gemma":[0.01342622,0.0004853191,0.0002771327,0.000386348,0.0006131171,0.0004301879,0.000611322,0.0005574995,0.0003266073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004764203,"about_ca_system_score_gemma":0.0007354239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038369,"about_ca_topic_score_gemma":0.0007471335,"domain_scores_codex":[0.9989185,0.0004623958,0.00008127021,0.0001881476,0.0002768702,0.00007292021],"domain_scores_gemma":[0.9963206,0.002069372,0.0003423983,0.000396224,0.0007975205,0.000073819],"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":[0.0009846637,0.0003276631,0.003093547,0.0006370193,0.00006081858,0.0001891057,0.000363262,0.02476951,0.9284135,0.002450579,0.001087305,0.03762304],"study_design_scores_gemma":[0.000128973,0.001941754,0.008782361,0.0001231746,0.0001655495,0.0008822756,0.0001124219,0.1388135,0.8350396,0.001302378,0.01260667,0.0001014178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2972547,0.002472401,0.6934157,0.0004248771,0.000239655,0.00103986,0.001244194,0.001727915,0.002180661],"genre_scores_gemma":[0.7589365,0.001417446,0.2338119,0.0003543406,0.0000591759,0.001939919,0.001197993,0.0004749868,0.001807688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004634443,"threshold_uncertainty_score":0.02450955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465141790165851,"score_gpt":0.3068342006102583,"score_spread":0.2821827827085998,"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."}}