{"id":"W2838604441","doi":"10.1007/s00723-018-1034-x","title":"Gas Flow Mapping in a Recorder: An Application of SPRITE MRI","year":2018,"lang":"en","type":"article","venue":"Applied Magnetic Resonance","topic":"Music and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational fluid dynamics; Turbulence; Flow (mathematics); Flow velocity; Amplitude; Fluid dynamics; Acoustics; Computer science; Physics; Mechanics; Optics","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":[0.0002965531,0.0001190875,0.0001757998,0.00009868832,0.00006749309,0.00004711311,0.0006456939,0.0000590783,0.00002347269],"category_scores_gemma":[0.000009966444,0.0001224325,0.00001919697,0.0006630936,0.0001176677,0.000182018,0.0001321739,0.00009525568,0.00004592746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001881513,"about_ca_system_score_gemma":0.0000498644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005443305,"about_ca_topic_score_gemma":0.00005104523,"domain_scores_codex":[0.9987338,0.0000207811,0.0003066761,0.000474238,0.0001995157,0.0002649652],"domain_scores_gemma":[0.9991199,0.00003086876,0.0001206579,0.0006145535,0.00006145876,0.00005259019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006525615,0.00003981595,0.0004667771,0.00002404281,4.735605e-7,0.000001036605,0.0008538483,0.00001432962,0.007596466,0.00966138,0.000286738,0.9810486],"study_design_scores_gemma":[0.001456278,0.0003105325,0.04729856,0.0001931997,0.0000052608,0.00001307436,0.0001161659,0.5450954,0.01724113,0.04179182,0.3458116,0.0006669723],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05846125,0.00127471,0.9152372,0.00061972,0.0001008434,0.0003578371,0.000001064326,0.00009533109,0.02385208],"genre_scores_gemma":[0.6527891,0.00007857098,0.3462171,0.0006008914,0.0001230626,0.0000728196,0.000001568896,0.00001054676,0.0001063672],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9803816,"threshold_uncertainty_score":0.4992652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061326044728584,"score_gpt":0.2263153875477812,"score_spread":0.2157021271004954,"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."}}