{"id":"W1965744278","doi":"10.1016/j.yjmcc.2008.02.012","title":"GdDTPA-MRI contrast kinetics in chronically cryoinjured pig hearts in vivo","year":2008,"lang":"en","type":"article","venue":"Journal of Molecular and Cellular Cardiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Institute for Biodiagnostics; University of Manitoba","funders":"","keywords":"Chemistry; Perfusion; In vivo; Kinetics; Bolus (digestion); Nuclear medicine; Nuclear magnetic resonance; Anatomy; Medicine; Internal medicine; Biology","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":[0.0005489133,0.0003209417,0.0004053965,0.0001850326,0.0002383707,0.0006651477,0.0004221126,0.0005496609,0.001521903],"category_scores_gemma":[0.0005792006,0.0004014818,0.0002197452,0.0001556876,0.0004627778,0.0007738527,0.0001593718,0.001031645,0.0005012832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239979,"about_ca_system_score_gemma":0.0003227087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678091,"about_ca_topic_score_gemma":0.001316873,"domain_scores_codex":[0.9999136,0.00001728014,0.000003828021,0.00002636752,0.000008514474,0.00003048264],"domain_scores_gemma":[0.9996067,0.0001995083,0.00006660008,0.00003754263,0.00003822063,0.00005149775],"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":[0.001787025,0.00007438425,0.0003379109,0.00008321565,0.00001496941,0.0001810713,0.0001451789,0.0001517954,0.9940131,0.0001798278,0.0001463831,0.002885107],"study_design_scores_gemma":[0.000114184,0.001309662,0.00710088,0.00003131621,0.0001138413,0.0004604307,0.0001142253,0.004570805,0.9840661,0.0001655601,0.00193231,0.00002075845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848064,0.003821082,0.008017913,0.0001668662,0.00007710351,0.00005212191,0.0003043805,0.0001275039,0.002626523],"genre_scores_gemma":[0.9863254,0.001821688,0.004928192,0.0001885846,0.00005007843,0.00009104409,0.000529114,0.0001366206,0.005929307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001678091,"threshold_uncertainty_score":0.00509131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029229274198129,"score_gpt":0.2605461277592022,"score_spread":0.2502538350172209,"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."}}