{"id":"W4392183920","doi":"10.1007/s00330-024-10605-x","title":"ESR Essentials: ten steps to cardiac MR—practice recommendations by ESCR","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Standardization; Triage; Quality assurance; Medical physics; Risk analysis (engineering); Computer science; Medical emergency; Pathology","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":[0.02128718,0.001415161,0.001813889,0.003415623,0.002231936,0.006657399,0.003625966,0.01748363,0.01075957],"category_scores_gemma":[0.05162788,0.0007806836,0.002488484,0.002199703,0.001972811,0.005382237,0.005954362,0.01840484,0.008664842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004576114,"about_ca_system_score_gemma":0.03142493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409513,"about_ca_topic_score_gemma":0.02530812,"domain_scores_codex":[0.9863735,0.00449952,0.003240462,0.0008768415,0.00357329,0.001436446],"domain_scores_gemma":[0.9397224,0.01143562,0.004712673,0.001633925,0.02697692,0.01551836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009129801,0.0002367051,0.002691916,0.0006530143,0.00006527463,0.0003049361,0.0001751287,0.0006256026,0.0001996611,0.003354847,0.8285443,0.1630574],"study_design_scores_gemma":[0.0003427225,0.0001776558,0.01024466,0.0173118,0.0002165362,0.001070629,0.00130599,0.001276473,0.0003942554,0.01543508,0.9520422,0.0001820482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001174954,0.03552588,0.005659211,0.9227364,0.01460013,0.0002058896,0.0005577044,0.0007901969,0.01874953],"genre_scores_gemma":[0.04454031,0.1038424,0.1129924,0.661294,0.04524557,0.001580761,0.004197563,0.0009569366,0.0253502],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02128718,"threshold_uncertainty_score":0.1125787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427710984169291,"score_gpt":0.3158748751322348,"score_spread":0.3015977652905419,"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."}}