{"id":"W2059604234","doi":"10.1186/1532-429x-14-s1-w49","title":"Simultaneous wall and blood-flow phase-contrast imaging using a single low VENC","year":2012,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Angiology; Medicine; Phase contrast microscopy; Contrast (vision); Blood flow; Radiology; Medical physics; Internal medicine; Artificial intelligence; Computer science; Optics","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":[0.001038184,0.0005202499,0.0008569533,0.0007973455,0.000335012,0.0009494391,0.0005598251,0.001123569,0.001034837],"category_scores_gemma":[0.002440847,0.0004474378,0.0002327276,0.0004102824,0.0004786391,0.0007937287,0.0005769012,0.0009538779,0.0003680621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931657,"about_ca_system_score_gemma":0.0005321912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007387242,"about_ca_topic_score_gemma":0.001981734,"domain_scores_codex":[0.9997329,0.00007922835,0.00001320687,0.00005527919,0.0000762737,0.00004312256],"domain_scores_gemma":[0.9989229,0.0005643157,0.00009606691,0.0001067254,0.0001746009,0.0001353157],"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":[0.0006403483,0.0000719794,0.002689304,0.0001930114,0.00002690348,0.000264768,0.00005150277,0.0006672623,0.9643868,0.0002699041,0.0001702545,0.03056793],"study_design_scores_gemma":[0.0001127874,0.001758501,0.02763354,0.0001270227,0.0002684105,0.005041068,0.0001324805,0.03079396,0.9294901,0.0006689035,0.003864879,0.000108339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7168872,0.003134926,0.2762806,0.000451791,0.0001234139,0.0001955983,0.0001954059,0.0005157063,0.002215364],"genre_scores_gemma":[0.6558443,0.0009407282,0.3410334,0.0002126042,0.000119202,0.000154596,0.000233762,0.0002092292,0.001252259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001123569,"threshold_uncertainty_score":0.005490482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270014161523704,"score_gpt":0.2713678626959564,"score_spread":0.2586677210807193,"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."}}