{"id":"W1500261210","doi":"","title":"Magnetic resonance imaging of acoustic streaming in gases","year":2006,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Pulse sequence; Amplitude; Acoustics; Pulse (music); Magnetic resonance imaging; Magnetic field; Acoustic streaming; Nuclear magnetic resonance; Physics; Displacement (psychology); Optoacoustic imaging; Optics; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00002881644,0.00008376519,0.000102549,0.00008614406,0.00005373071,0.00001950641,0.0001076485,0.00001366461,0.000157059],"category_scores_gemma":[0.000002845279,0.00009866503,0.00002821815,0.0001979271,0.00005119729,0.0000353159,0.00001243078,0.00007895927,0.00001528757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004823766,"about_ca_system_score_gemma":0.0001614868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1168611,"about_ca_topic_score_gemma":0.00776083,"domain_scores_codex":[0.9993958,0.000006608692,0.0001619114,0.0001285789,0.00006075951,0.0002463241],"domain_scores_gemma":[0.9996328,0.00003160596,0.00004058437,0.0001719763,0.00003998959,0.00008303492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004344157,0.000264719,0.5347554,0.00004458479,0.00000734361,0.00003006767,0.0001732819,0.0202903,0.09875794,0.1628853,0.01474552,0.1680412],"study_design_scores_gemma":[0.0006092418,0.00002254515,0.8932199,0.0001159821,0.000051916,0.000001523297,0.000752333,0.06098597,0.0006672249,0.03514861,0.00795187,0.0004728588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578975,0.0004916516,0.004018394,0.0001312765,0.00007503817,0.0001957625,0.0004821062,0.00001519591,0.03669304],"genre_scores_gemma":[0.9989557,0.000001487726,0.0005134347,0.0000315656,0.0001503865,0.000008599862,0.00003052263,0.00001732311,0.0002909773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3584645,"threshold_uncertainty_score":0.8890198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004143252063089485,"score_gpt":0.1985586297042184,"score_spread":0.1944153776411289,"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."}}