{"id":"W2120901081","doi":"10.1186/s12968-014-0103-z","title":"Simplifying cardiovascular magnetic resonance pulse sequence terminology","year":2014,"lang":"en","type":"editorial","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Cardiologie et de Pneumologie de Québec; Université Laval; Libin Cardiovascular Institute of Alberta; Montreal Heart Institute; Université de Montréal","funders":"British Heart Foundation","keywords":"Terminology; Sequence (biology); Medicine; CLARITY; Set (abstract data type); Meaning (existential); Computer science; Medical physics; Data science; Psychology; Linguistics","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":[0.01468251,0.002329361,0.002123463,0.006234836,0.001779045,0.006059354,0.003502706,0.005836236,0.003801169],"category_scores_gemma":[0.06362338,0.0006157209,0.00220289,0.00286355,0.004652451,0.006076869,0.002108607,0.02361563,0.00754195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259407,"about_ca_system_score_gemma":0.003695355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566138,"about_ca_topic_score_gemma":0.002570018,"domain_scores_codex":[0.9863641,0.00434661,0.00339059,0.0009219578,0.004601416,0.0003753661],"domain_scores_gemma":[0.9520873,0.0215348,0.002818205,0.001912497,0.02039617,0.001250882],"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":[0.0000486922,0.00002705012,0.00009283791,0.0007658749,0.00002577177,0.0003290075,0.0002416302,0.000242076,0.0005758884,0.01273297,0.9417787,0.04313958],"study_design_scores_gemma":[0.00001591986,0.00002575051,0.0001506014,0.0006132915,0.00002472351,0.0007226475,0.00007886099,0.0002712434,0.0002371245,0.005302355,0.99253,0.00002735398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002686517,0.01720797,0.0117353,0.05227348,0.9132034,0.00009132973,0.0001465269,0.0003302403,0.004743129],"genre_scores_gemma":[0.003176322,0.02373316,0.01883315,0.08342178,0.8580099,0.0002530897,0.0002965345,0.0005924851,0.01168366],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01468251,"threshold_uncertainty_score":0.07764947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417571395092136,"score_gpt":0.2617779344136706,"score_spread":0.2476022204627492,"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."}}