{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001440374,0.00009345391,0.0001652227,0.0001924316,0.00003024808,0.000005896145,0.00003732734,0.00005250302,0.00009806593],"category_scores_gemma":[0.000006166843,0.00008526318,0.00009332957,0.0003385969,0.00003974793,0.00006792909,0.00001042094,0.00006583075,0.000007671953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001114638,"about_ca_system_score_gemma":0.00001738502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001022616,"about_ca_topic_score_gemma":6.9868e-7,"domain_scores_codex":[0.9992914,0.00001486381,0.0001708148,0.0001888896,0.0002293345,0.0001046932],"domain_scores_gemma":[0.9994428,0.00001309616,0.00008675035,0.0002679682,0.0001320523,0.00005734495],"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":[0.0005146342,0.001482823,0.1801404,0.0003893985,0.0001682564,0.000001233719,0.00008885597,0.0002468622,0.771606,0.000803347,0.0007544908,0.04380367],"study_design_scores_gemma":[0.0106418,0.002211139,0.05830511,0.0003191525,0.0006854529,0.000005739876,0.00006718148,0.00123763,0.8971789,0.002068397,0.02690626,0.0003732783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070496,0.0003560533,0.1897418,0.0001498267,0.00004145424,0.0009107321,0.00001102046,0.000135415,0.00160407],"genre_scores_gemma":[0.9824824,0.0000518254,0.01708445,0.0001625121,0.00002615479,0.00005864961,0.00008177138,0.00001442848,0.00003779102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1754328,"threshold_uncertainty_score":0.3476931,"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."}}