{"id":"W2056197071","doi":"10.1002/mrm.21738","title":"Advantage of sampling density weighted apodization over postacquisition filtering apodization for sodium MRI of the human brain","year":2008,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Apodization; Sampling (signal processing); Noise (video); Projection (relational algebra); Filter (signal processing); Mathematics; Optics; Computer science; Artificial intelligence; Algorithm; Image (mathematics); Computer vision; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002207803,0.0001226073,0.0003290546,0.0001201444,0.00009925926,0.000001259312,0.0001081609,0.00007882053,0.00006568435],"category_scores_gemma":[0.0001852163,0.00009280467,0.00005392099,0.0004171575,0.0002456685,0.00005232764,0.00003780524,0.0001104096,2.482265e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005598366,"about_ca_system_score_gemma":0.0000324625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006156027,"about_ca_topic_score_gemma":0.00001793198,"domain_scores_codex":[0.9987925,0.00002719601,0.0005332589,0.0002234672,0.0002631693,0.000160415],"domain_scores_gemma":[0.9990433,0.0001292243,0.00023996,0.0003603348,0.0001909266,0.00003623817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002469915,0.0002257694,0.04172618,0.0003584321,0.000003837702,0.000004308672,0.0009983861,0.0001804594,0.9358137,0.00576798,0.001367878,0.01330604],"study_design_scores_gemma":[0.004781535,0.001127401,0.8547218,0.001895618,0.0000789095,0.00005649057,0.0002497535,0.009005002,0.1096894,0.006533733,0.01163143,0.0002289761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7509041,0.0008803348,0.2444266,0.002057013,0.00005152239,0.001307105,0.00002133297,0.00003738809,0.000314676],"genre_scores_gemma":[0.9618336,0.0004375449,0.03660893,0.0004383613,0.0001222485,0.00008421511,0.0001145417,0.0000238333,0.0003367161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8261244,"threshold_uncertainty_score":0.3784465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783536913054376,"score_gpt":0.3335115045491829,"score_spread":0.3056761354186392,"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."}}