{"id":"W3158260604","doi":"10.1371/journal.pone.0251040","title":"Feasibility of fast cardiovascular magnetic resonance strain imaging in patients presenting with acute chest pain","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Deutsche Herzstiftung","keywords":"Medicine; Chest pain; Cardiology; Magnetic resonance imaging; Coronary artery disease; Internal medicine; Angina; Medical diagnosis; Cardiac magnetic resonance imaging; Acute coronary syndrome; Radiology; Myocardial infarction","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":[0.0012995,0.0005604391,0.0003253651,0.0008924893,0.0002062824,0.0006226805,0.0003206561,0.0006069356,0.001064037],"category_scores_gemma":[0.005838165,0.0002268032,0.0002084834,0.0002038798,0.0002197848,0.0006646025,0.0004825621,0.0003992102,0.0004198234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126022,"about_ca_system_score_gemma":0.0002264689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005084705,"about_ca_topic_score_gemma":0.0008883495,"domain_scores_codex":[0.9994752,0.0002206072,0.000056083,0.00008843262,0.00007454447,0.00008514788],"domain_scores_gemma":[0.9978277,0.001040593,0.0004063109,0.0001140555,0.0002985749,0.0003127194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005244945,0.0001539853,0.9893991,0.00002132985,0.00001153872,0.0004815821,0.00009499379,0.0001783231,0.001442323,0.0000199133,0.0001295754,0.007542946],"study_design_scores_gemma":[0.00006351676,0.001002211,0.9912805,0.00002487739,0.00002850844,0.002356278,0.0002858937,0.003815097,0.0007502752,0.00008333386,0.0002955529,0.0000139924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99883,0.0001969174,0.000344062,0.00005366938,0.00001120726,0.00003266339,0.00007339905,0.000007955505,0.0004500544],"genre_scores_gemma":[0.9990688,0.00007275334,0.0006028934,0.00002719462,0.00002732573,0.00001571281,0.0001392992,0.000002134472,0.00004400224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0012995,"threshold_uncertainty_score":0.006872475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262882793922269,"score_gpt":0.2193860920610922,"score_spread":0.1967572641218696,"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."}}