{"id":"W2266260606","doi":"10.1016/j.rec.2015.11.011","title":"Cardiovascular Magnetic Resonance in Cardiology Practice: A Concise Guide to Image Acquisition and Clinical Interpretation","year":2016,"lang":"en","type":"review","venue":"Revista Española de Cardiología (English Edition)","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Circle Cardiovascular Imaging","keywords":"Magnetic resonance imaging; Clinical Practice; Cardiac magnetic resonance; Medicine; Clinical cardiology; Cardiology; Heart failure; Internal medicine; Medical physics; Intensive care medicine; Radiology; Physical therapy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005391825,0.0008075796,0.005637618,0.0005792007,0.00009816228,0.0001731578,0.0002663401,0.001027511,0.00002577834],"category_scores_gemma":[0.02843179,0.0006949062,0.002721041,0.0005910178,0.000460247,0.000340498,0.0002719103,0.001245715,0.0001909758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030148,"about_ca_system_score_gemma":0.0009182946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001677159,"about_ca_topic_score_gemma":5.927179e-7,"domain_scores_codex":[0.9918892,0.003252093,0.001955529,0.001536915,0.0005465302,0.0008197335],"domain_scores_gemma":[0.9915722,0.004669757,0.0004015309,0.00152497,0.001246806,0.000584711],"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":[0.0002125918,0.00005473318,0.001651848,0.004806924,0.0009726613,0.002308005,0.00009863658,0.000003351661,5.71807e-7,0.0002335526,0.0623223,0.9273348],"study_design_scores_gemma":[0.001612781,0.0003933457,0.004158781,0.02171413,0.006022292,0.002414697,0.00009471421,0.000005991315,2.414987e-7,0.00001975947,0.9629068,0.0006564931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003874893,0.9833678,0.004932087,0.0002100389,0.002043514,0.002510659,0.0005449255,0.0001905485,0.006161666],"genre_scores_gemma":[0.0003560249,0.9862451,0.00260964,0.0007373117,0.008519106,0.0006872407,0.0005745864,0.0001464456,0.0001245474],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9266783,"threshold_uncertainty_score":0.9995502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449571878868654,"score_gpt":0.350789854471346,"score_spread":0.3362941356826594,"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."}}