{"id":"W2003016848","doi":"10.1016/j.jmr.2003.08.004","title":"Centric scan SPRITE magnetic resonance imaging","year":2003,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sprite (computer graphics); Optics; Image resolution; Spiral (railway); Cartesian coordinate system; Physics; Computer vision; Computer science; Mathematics; Geometry; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003752955,0.0001967457,0.0003935724,0.000178143,0.00009473669,0.00002752412,0.0002137028,0.00006189464,0.0004193202],"category_scores_gemma":[0.0002421002,0.0001695197,0.0001658093,0.0005416105,0.0001347188,0.0001257034,0.00002839641,0.000424185,0.00002512076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001186794,"about_ca_system_score_gemma":0.0001794693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005713647,"about_ca_topic_score_gemma":0.000001379827,"domain_scores_codex":[0.9981644,0.00005490989,0.0006809497,0.0002450036,0.0004624229,0.0003923537],"domain_scores_gemma":[0.9986048,0.00008239725,0.0003045897,0.0004298258,0.0003366543,0.0002417206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001634565,0.000304694,0.01975181,0.00003792816,0.000002041525,0.0004079432,0.00007730201,0.00001619268,0.005870539,0.005890468,0.01538598,0.9520916],"study_design_scores_gemma":[0.00153011,0.0005311971,0.08170943,0.0003260136,0.00005636595,0.001943109,0.00005355423,0.00022434,0.003047433,0.002380994,0.9080197,0.0001778154],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1012329,0.8306918,0.01914546,0.006479286,0.0004457858,0.001142653,0.00001912387,0.0001337148,0.04070938],"genre_scores_gemma":[0.6645709,0.02709982,0.292529,0.002069765,0.0005596916,0.00004493744,0.000002270737,0.000105744,0.01301794],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9519138,"threshold_uncertainty_score":0.6912813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001425593194408,"score_gpt":0.2777879233575209,"score_spread":0.2677736674255768,"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."}}