{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002129737,0.00006496956,0.0002517589,0.00005876863,0.0001543862,0.00001768104,0.0002028845,0.00006062565,0.0001627662],"category_scores_gemma":[0.002797679,0.00002816132,0.00006896668,0.0003400495,0.0007121799,0.00006615158,0.00001338206,0.0003820354,0.00000336757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002119418,"about_ca_system_score_gemma":0.0005488077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001114042,"about_ca_topic_score_gemma":0.002136584,"domain_scores_codex":[0.9987451,0.0002010534,0.000427747,0.0001103408,0.0002366792,0.0002791034],"domain_scores_gemma":[0.9983223,0.0005166141,0.000294327,0.000106109,0.0001767134,0.0005839132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001672261,0.00000452411,0.6396236,0.00001191105,0.00001895488,0.000006533538,0.00004532533,0.000003067757,0.0003501713,0.000003577251,0.000235473,0.3596801],"study_design_scores_gemma":[0.0006256409,0.001647544,0.9914219,0.0004407077,0.0000279937,0.00001327344,0.0005837796,0.001150364,0.0003932998,0.001518642,0.002117979,0.00005885859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964254,0.0005057538,0.00001151723,0.002284155,0.0002888759,0.00007775627,0.000005390296,0.000007412886,0.0003937705],"genre_scores_gemma":[0.999308,0.0002193293,0.0001861434,0.00009800436,0.00009741017,0.000001140279,0.000001740096,0.000002516054,0.00008564867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3596213,"threshold_uncertainty_score":0.3349285,"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."}}