{"id":"W4387934334","doi":"10.1016/j.jcjd.2023.10.122","title":"THE DIFFERENCE OF SUITABLE INVERSION TIMES FOR LATE GADOLINIUM ENHANCEMENT CARDIAC MAGNETIC RESONANCE IMAGING BETWEEN RIGHT AND LEFT VENTRICLES","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Gadolinium; Magnetic resonance imaging; Left Ventricles; Cardiac magnetic resonance; Nuclear magnetic resonance; Nuclear medicine; Radiology; Cardiology; Ventricle","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002474334,0.0004202244,0.0002365047,0.0004806389,0.0002610078,0.000700663,0.0004173022,0.0009015322,0.002054672],"category_scores_gemma":[0.00698596,0.0001889878,0.0001989537,0.0002036855,0.0003473643,0.0009131726,0.0004233806,0.0007039802,0.0005608676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645596,"about_ca_system_score_gemma":0.0005603622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00020282,"about_ca_topic_score_gemma":0.0003226182,"domain_scores_codex":[0.999603,0.0001566658,0.00007073092,0.00005049307,0.0000652699,0.00005380196],"domain_scores_gemma":[0.9972225,0.001488629,0.0002798444,0.0002080893,0.0005291772,0.0002717717],"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":[0.003911736,0.0001822825,0.006422758,0.0003451435,0.00007344959,0.001175102,0.0003308239,0.0007037513,0.9106235,0.00331795,0.0005979753,0.07231552],"study_design_scores_gemma":[0.0005037063,0.004456987,0.0513816,0.0001211212,0.0004366785,0.01856739,0.0006553427,0.02438433,0.8750396,0.009284465,0.01505096,0.0001178962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7955191,0.003563295,0.1928504,0.0006634957,0.0007136766,0.0001740057,0.0003328064,0.0004420017,0.005741226],"genre_scores_gemma":[0.9025519,0.0008074623,0.09438697,0.0002574224,0.0001318242,0.0001319716,0.0002731869,0.0002165442,0.001242713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002474334,"threshold_uncertainty_score":0.01308572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125989685467374,"score_gpt":0.2553613606684801,"score_spread":0.2441014638138063,"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."}}