{"id":"W2023279886","doi":"10.1186/1532-429x-16-s1-p375","title":"Non-contrast enhanced, EKG-triggered, navigator MR angiography of the thoracic aorta and proximal pulmonary arteries: initial evaluation of using an abdominal compression band to reduce acquisition times","year":2014,"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":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"","keywords":"Medicine; Angiology; Radiology; Image quality; Magnetic resonance angiography; Abdominal aorta; Angiography; Magnetic resonance imaging; Contrast (vision); Coronary arteries; Compression (physics); Aorta; Cardiology; Artery; Artificial intelligence; Computer science; Image (mathematics)","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":[0.0006359309,0.0009868969,0.0007763773,0.0007373804,0.0003678921,0.0003846689,0.0008194799,0.001899957,0.001134542],"category_scores_gemma":[0.003120396,0.0003603368,0.0003690954,0.0003457857,0.0007195683,0.000933791,0.0003540919,0.001622706,0.0002691048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645181,"about_ca_system_score_gemma":0.0006091148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049707,"about_ca_topic_score_gemma":0.002091416,"domain_scores_codex":[0.9996786,0.00007261691,0.00006624646,0.00004349988,0.00007164309,0.00006736879],"domain_scores_gemma":[0.9992232,0.0003309337,0.00007542013,0.00003916478,0.000105815,0.0002255296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.01451804,0.003609305,0.07594255,0.0009587134,0.0001415102,0.5507438,0.0009781432,0.002089776,0.2278161,0.0006014852,0.002381469,0.1202192],"study_design_scores_gemma":[0.00112541,0.03143955,0.1902283,0.0003926423,0.0006346276,0.5615135,0.000954963,0.0131847,0.1867033,0.0009743372,0.01264567,0.0002029527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704531,0.005181265,0.01336319,0.003350755,0.0001385322,0.001006912,0.0001473504,0.0002550967,0.006103861],"genre_scores_gemma":[0.9776282,0.00400373,0.01423989,0.002060421,0.0003368562,0.000164087,0.0001788201,0.0000739075,0.001314098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001899957,"threshold_uncertainty_score":0.003795445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191693187728273,"score_gpt":0.3269430496275686,"score_spread":0.3077737308547414,"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."}}