{"id":"W1965160794","doi":"10.1503/cmaj.060566","title":"Clinical applications of cardiovascular magnetic resonance imaging","year":2006,"lang":"en","type":"review","venue":"Canadian Medical Association Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnetic resonance imaging; Medicine; Myocarditis; Cardiac magnetic resonance imaging; Radiology; Cardiology; Perfusion; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00367547,0.0002604942,0.002175718,0.0004058827,0.0001339645,0.00004980157,0.0002544575,0.0007054506,0.0003942248],"category_scores_gemma":[0.003895429,0.0002349488,0.002340107,0.000523988,0.0001207354,0.0000364444,0.00002615766,0.002154791,0.0001584257],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087285,"about_ca_system_score_gemma":0.01095351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888021,"about_ca_topic_score_gemma":0.0004284222,"domain_scores_codex":[0.9953372,0.0004464065,0.001593613,0.0003074073,0.001811248,0.0005040707],"domain_scores_gemma":[0.9958726,0.0008467027,0.0005233713,0.0004244523,0.0007393837,0.0015935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.57243e-7,0.00003000592,0.007427455,0.0006130224,0.0002308699,0.0003921367,0.000003452341,2.270915e-7,5.035363e-10,0.00001945522,0.1042194,0.8870634],"study_design_scores_gemma":[0.0005645361,0.00002058734,0.00180618,0.004711682,0.002918712,0.00152099,0.000009834686,0.000008803043,1.042702e-8,0.00001882793,0.9882367,0.0001830814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.580537e-7,0.9913775,0.0002704606,0.0006862531,0.0007901858,0.0004441439,0.0001376931,0.0000194477,0.006273397],"genre_scores_gemma":[0.000008433492,0.9929451,0.0002962947,0.0008737909,0.005036583,0.00004283581,0.00009070864,0.00005155182,0.0006547486],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8868803,"threshold_uncertainty_score":0.9946535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568838095916202,"score_gpt":0.3199703525836699,"score_spread":0.3042819716245079,"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."}}