{"id":"W4388273924","doi":"10.1016/j.jcjd.2023.10.121","title":"THE CLINICAL UTILITY OF A RAPID 2D BALANCED STEADY STATE FREE PRECESSION SEQUENCE WITH DEEP LEARNING RECONSTRUCTION","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Precession; Sequence (biology); Steady state (chemistry); Artificial intelligence; Quantum mechanics; Genetics; Computer science; Physics","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":[0.00125963,0.0004527643,0.0003605251,0.0007078946,0.0002444115,0.001215965,0.0004180414,0.001455405,0.002547831],"category_scores_gemma":[0.005219497,0.0003942782,0.0002009229,0.0003243972,0.0003764975,0.000932955,0.0006784303,0.001041249,0.0006514622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495823,"about_ca_system_score_gemma":0.0009957502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890058,"about_ca_topic_score_gemma":0.002926116,"domain_scores_codex":[0.999773,0.0000971125,0.00002502898,0.00003425862,0.00004521279,0.00002541985],"domain_scores_gemma":[0.9987347,0.0006490815,0.00009861353,0.0001444754,0.0002549599,0.0001183353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006088964,0.0005355994,0.02704174,0.001091136,0.0002990734,0.003168154,0.0004735555,0.06325003,0.2102331,0.01203617,0.0230208,0.6527617],"study_design_scores_gemma":[0.001058813,0.00307519,0.0496462,0.0008018601,0.0005940976,0.01591508,0.000428859,0.6867251,0.1601151,0.0367809,0.04436962,0.0004891339],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3056129,0.005320132,0.6665048,0.0058431,0.0006590221,0.0004397467,0.00174595,0.002203228,0.01167118],"genre_scores_gemma":[0.7863557,0.002639775,0.2040422,0.001307519,0.0004081269,0.0003087617,0.001143678,0.0004358364,0.003358288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002547831,"threshold_uncertainty_score":0.008523345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05382294126453094,"score_gpt":0.3102254110409692,"score_spread":0.2564024697764382,"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."}}