{"id":"W4394693674","doi":"10.1016/j.jcmg.2024.01.009","title":"Cardiovascular Magnetic Resonance Reference Ranges From the Healthy Hearts Consortium","year":2024,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; ZonMw; British Heart Foundation; Barts Charity","keywords":"Cardiac magnetic resonance; Magnetic resonance imaging; Nuclear magnetic resonance; Cardiology; Medicine; Internal medicine; Physics; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001856763,0.0004749755,0.001188552,0.0001600129,0.0003040843,0.0003889113,0.0002766961,0.0001194781,0.00009069155],"category_scores_gemma":[0.0006684529,0.0003657945,0.003012706,0.0006193668,0.000321467,0.0002121009,0.000190331,0.0008976905,0.0004295471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002020397,"about_ca_system_score_gemma":0.0003918653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056129,"about_ca_topic_score_gemma":0.00001050924,"domain_scores_codex":[0.9956306,0.000460725,0.0005133803,0.001158207,0.001432433,0.0008046576],"domain_scores_gemma":[0.9960385,0.0008015154,0.00003420674,0.002568537,0.0002573152,0.0002999397],"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":[0.0001653817,0.00007690107,0.04594073,0.0004551193,0.004693294,0.004544187,0.0009255858,0.000333419,0.0002135177,0.0003175716,0.06921661,0.8731177],"study_design_scores_gemma":[0.001462546,0.0000391678,0.1014156,0.0006988692,0.003211576,0.001007153,0.0002983007,0.0008610745,0.0002852247,0.0001342016,0.8901739,0.0004124395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02766286,0.953634,0.002458663,0.005489144,0.001978168,0.0009406721,0.0001217772,0.0006634825,0.007051284],"genre_scores_gemma":[0.9777615,0.01464359,0.001289768,0.003075407,0.002481185,0.0001727361,0.0001148791,0.0001663624,0.0002945416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9500987,"threshold_uncertainty_score":0.9998794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875565612412678,"score_gpt":0.2602042370593602,"score_spread":0.2414485809352335,"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."}}