{"id":"W2156123988","doi":"10.1002/mrm.10289","title":"Myocardial viability imaging using Gd‐DTPA: Physiological modeling of infarcted myocardium, and impact on injection strategy and imaging time","year":2002,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Lawson Health Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Bolus (digestion); Myocardial infarction; Infarction; Chemistry; Medicine; Nuclear medicine; Cardiology; Biomedical engineering; Internal medicine","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":[0.0003728518,0.0004225339,0.0003231797,0.0002420661,0.0001618676,0.0005226894,0.0005263684,0.0007122087,0.0007280598],"category_scores_gemma":[0.001666171,0.0001805725,0.000329234,0.0002231939,0.0004023444,0.0003097181,0.0002315594,0.000377643,0.0001230733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005795446,"about_ca_system_score_gemma":0.0005025573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004275252,"about_ca_topic_score_gemma":0.001914854,"domain_scores_codex":[0.9999149,0.00002586239,0.000003813175,0.00001200646,0.00002388147,0.00001953395],"domain_scores_gemma":[0.9995473,0.0002967596,0.00007119202,0.00002051676,0.00003629913,0.00002794527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002040684,0.00006931208,0.001921877,0.00005511462,0.00001469344,0.0002407243,0.00005424044,0.9756095,0.01754525,0.001493532,0.0001232275,0.00266832],"study_design_scores_gemma":[0.00001975516,0.0002160431,0.0008118861,0.00001159442,0.00001761606,0.00008394931,0.00002673572,0.9904722,0.007485843,0.0004720553,0.0003717644,0.0000105728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9050494,0.0008997039,0.0870671,0.0003148918,0.00004156068,0.0001142121,0.0003432051,0.000218835,0.005951053],"genre_scores_gemma":[0.9892744,0.0004038493,0.009274036,0.00004105089,0.000003989548,0.00006844077,0.0000885447,0.00003506564,0.0008105641],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004275252,"threshold_uncertainty_score":0.008500755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481445251428925,"score_gpt":0.293148185159225,"score_spread":0.2683337326449358,"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."}}