{"id":"W2912621940","doi":"10.1016/j.ejrad.2019.02.007","title":"Magnetic resonance angiography imaging of pulmonary embolism using agents with blood pool properties as an alternative to computed tomography to avoid radiation exposure","year":2019,"lang":"en","type":"article","venue":"European Journal of Radiology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; University of Alberta; Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Medicine; Radiology; Pulmonary embolism; Magnetic resonance imaging; Pulmonary angiography; Magnetic resonance angiography; Venous thrombosis; Computed tomography angiography; Angiography; Embolus; Thrombosis; Nuclear medicine; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005598805,0.0002018116,0.0006110487,0.0008274485,0.00005208968,0.00002084358,0.0002681932,0.00002106456,0.00004755994],"category_scores_gemma":[0.00002909264,0.0001418116,0.0001814573,0.0004767208,0.00007381136,0.0001516941,0.00007038447,0.0001731121,0.00001307573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002603992,"about_ca_system_score_gemma":0.0000445478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003492338,"about_ca_topic_score_gemma":0.000001014111,"domain_scores_codex":[0.9981263,0.0004841508,0.0005326552,0.0002794623,0.0002898312,0.0002876534],"domain_scores_gemma":[0.9988032,0.0000236296,0.000349544,0.0002862861,0.0002860473,0.0002513066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004076777,0.003057702,0.7092896,0.0004524144,0.001994117,0.005685298,0.01595044,0.01144137,0.1182883,0.000346928,0.003058114,0.1263589],"study_design_scores_gemma":[0.002516948,0.008759599,0.9784225,0.0009396555,0.0004764837,0.002264977,0.0005874033,0.000803471,0.002144907,0.00001698984,0.002822004,0.0002451119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924611,0.004598247,0.0007157124,0.0005422275,0.0003314213,0.0006225739,0.000004775849,0.00001688085,0.0007070585],"genre_scores_gemma":[0.9942546,0.000170087,0.003759403,0.001455969,0.0002757347,0.000002462443,0.000003992304,0.00004700472,0.00003078525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2691329,"threshold_uncertainty_score":0.5782909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279087664647602,"score_gpt":0.2356381964701615,"score_spread":0.2228473198236854,"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."}}