{"id":"W2075312471","doi":"10.1016/j.jmr.2006.05.012","title":"Centric-scan SPRITE magnetic resonance imaging with prepared magnetisation","year":2006,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Advanced Foods and Materials Network","keywords":"Sprite (computer graphics); Magnetization; Magnetic resonance imaging; Materials science; Nuclear magnetic resonance; Contrast (vision); High contrast; Optics; Computer science; Physics; Computer vision; Magnetic field; Radiology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085628,0.0007393675,0.0004043525,0.0006012256,0.0006053907,0.0009564717,0.000845884,0.001518506,0.005655115],"category_scores_gemma":[0.001135633,0.0005710786,0.0001800047,0.00056224,0.000719771,0.001233571,0.0009105756,0.001162266,0.001291159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003780675,"about_ca_system_score_gemma":0.0005456944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004123399,"about_ca_topic_score_gemma":0.001076578,"domain_scores_codex":[0.9996573,0.0001188809,0.00001681579,0.00007676868,0.00008698318,0.00004322548],"domain_scores_gemma":[0.9996138,0.0001236285,0.00006361843,0.00008588411,0.00007959588,0.00003344909],"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":[0.001902953,0.0001163557,0.001147215,0.000575856,0.00005332686,0.00075049,0.0002633114,0.00126155,0.9598142,0.005535224,0.0033877,0.02519186],"study_design_scores_gemma":[0.0002517056,0.0006719507,0.002184201,0.00006811976,0.00007815311,0.002991964,0.0001765858,0.01488454,0.9528145,0.00151293,0.02431677,0.00004863242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5443922,0.00201781,0.3855498,0.002122855,0.0002952283,0.0004746412,0.0007877359,0.003144911,0.06121486],"genre_scores_gemma":[0.7526807,0.0007623737,0.2243225,0.0004854611,0.00007641152,0.0002674451,0.0008754188,0.0007318955,0.01979764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005655115,"threshold_uncertainty_score":0.01891822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006220393203870151,"score_gpt":0.251324778654056,"score_spread":0.2451043854501858,"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."}}