{"id":"W2795216925","doi":"10.1093/ehjci/jey034","title":"Myocardial native T1 and extracellular volume with healthy ageing and gender","year":2018,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Niilo Helanderin Säätiö; National Institute for Health and Care Research; Barts Charity; Department of Health and Social Care; British Heart Foundation; National Institute on Handicapped Research","keywords":"Medicine; External cephalic version; Confidence interval; Extracellular fluid; Cardiology; Magnetic resonance imaging; Internal medicine; Ageing; Nuclear medicine; Extracellular; Radiology; Chemistry","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":[0.002625265,0.0003013545,0.000651832,0.0001895552,0.0005979579,0.0003030841,0.00006516297,0.00003012141,0.00001796354],"category_scores_gemma":[0.0003728245,0.0002562622,0.0004978804,0.000199163,0.0004550938,0.0002750194,0.0001209214,0.0007234587,0.00005288081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007640324,"about_ca_system_score_gemma":0.0001187172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002209349,"about_ca_topic_score_gemma":3.471e-7,"domain_scores_codex":[0.9972726,0.0006656248,0.0003457468,0.0004913001,0.0006797512,0.0005450278],"domain_scores_gemma":[0.998373,0.00009876116,0.00008713378,0.0004378258,0.0004079705,0.0005952553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006618467,0.0001346091,0.8197537,0.0003743408,0.005814897,0.02720399,0.006757386,0.000154628,0.001737565,0.00005703371,0.02239582,0.1149542],"study_design_scores_gemma":[0.004204521,0.0003700577,0.6691424,0.000360246,0.001571905,0.06106142,0.000712241,0.0005207123,0.0001247637,0.00003888216,0.2613933,0.0004995461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.793715,0.1533056,0.03125197,0.002395643,0.001057012,0.0005303585,0.000008409752,0.0001912177,0.01754474],"genre_scores_gemma":[0.9890385,0.0009580298,0.004988413,0.001509542,0.003262595,0.000001997602,0.000003999923,0.0001153691,0.0001215343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2389975,"threshold_uncertainty_score":0.999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616336049542986,"score_gpt":0.2718974018812674,"score_spread":0.2457340413858375,"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."}}