{"id":"W2905921544","doi":"10.1002/mp.13358","title":"A fast scheme for renal microvascular perfusion functional imaging: Assessed by an imaging quality evaluation model","year":2018,"lang":"en","type":"article","venue":"Medical Physics","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Key Research and Development Program of China","keywords":"Perfusion; Medicine; Kidney disease; Ultrasound; Hemodynamics; Biomedical engineering; Radiology; Computer science; Internal medicine","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":[0.001849631,0.0005927433,0.0004077416,0.0004639249,0.0002181437,0.0006419852,0.0008272653,0.0008158361,0.0007055488],"category_scores_gemma":[0.003255212,0.0002665051,0.0007143915,0.0002935497,0.0005592403,0.001124114,0.0007382006,0.0006512434,0.0001704279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210741,"about_ca_system_score_gemma":0.000858453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00322204,"about_ca_topic_score_gemma":0.001392991,"domain_scores_codex":[0.9995106,0.0001438326,0.00002051714,0.0001042223,0.0001703638,0.00005043322],"domain_scores_gemma":[0.9990038,0.0004064667,0.0001834395,0.0001182474,0.0002418512,0.00004615028],"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":[0.0001920508,0.0001001469,0.004257972,0.000124735,0.0000622363,0.0001255018,0.0001080417,0.8660985,0.05105952,0.01233807,0.0004417212,0.06509156],"study_design_scores_gemma":[0.00000311039,0.00004121794,0.0004471997,0.000002384924,0.000007555485,0.00002624531,0.000002664348,0.9957433,0.002869468,0.0006518247,0.0001991233,0.000005797777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07672815,0.0002983625,0.9212148,0.0001775141,0.00001896221,0.00008606833,0.00006278232,0.0002229568,0.001190418],"genre_scores_gemma":[0.8626564,0.0002840819,0.1352118,0.00005542983,0.00001805792,0.0001770373,0.0001129194,0.00005752396,0.001426723],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00322204,"threshold_uncertainty_score":0.009781957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07095157026814305,"score_gpt":0.3935550161770758,"score_spread":0.3226034459089328,"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."}}