{"id":"W4206052676","doi":"10.1152/ajpheart.00476.2021","title":"Quantification of murine myocardial infarct size using 2-D and 4-D high-frequency ultrasound","year":2022,"lang":"en","type":"article","venue":"American Journal of Physiology-Heart and Circulatory Physiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; National Center for Advancing Translational Sciences; Canada Foundation for Innovation; Diabetes Canada","keywords":"Cardiology; Myocardial infarction; Internal medicine; Ultrasound; Medicine; High frequency ultrasound; Pathophysiology; Cardiac function curve; Radiology; Heart failure","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008976852,0.000587597,0.000298737,0.001649279,0.0001823016,0.0004727248,0.0003216155,0.0007453713,0.001041209],"category_scores_gemma":[0.0004435025,0.0002448112,0.0003510714,0.0003247877,0.0004007324,0.0006635203,0.0003469907,0.0007644901,0.0003053186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008004,"about_ca_system_score_gemma":0.0001644835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003606488,"about_ca_topic_score_gemma":0.0004526799,"domain_scores_codex":[0.9997035,0.0000742781,0.00002813003,0.00007011308,0.00008049866,0.00004356232],"domain_scores_gemma":[0.9991698,0.0002314044,0.000220735,0.0001145163,0.0001518901,0.0001116925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000229551,0.0001241326,0.001260604,0.00006482122,0.00001615243,0.00003712461,0.00006558563,0.0009616356,0.989903,0.0002652272,0.00006489793,0.007007356],"study_design_scores_gemma":[0.00005100705,0.001766874,0.03457926,0.00005321333,0.0001256355,0.0003334137,0.0001670257,0.02710627,0.9318877,0.0008207472,0.003036041,0.00007280993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7921103,0.00219389,0.2007338,0.000245649,0.0001479913,0.0001327314,0.000700953,0.0007776651,0.002957071],"genre_scores_gemma":[0.8788933,0.001797253,0.1139207,0.0001750104,0.00007073988,0.0003623348,0.0006277451,0.0001270414,0.004025864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001649279,"threshold_uncertainty_score":0.00474751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313794894299513,"score_gpt":0.2639518655892924,"score_spread":0.2508139166462973,"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."}}