{"id":"W4395465974","doi":"10.3390/fluids9050103","title":"Analyzing the Influence of Dean Number on an Accelerated Toroidal: Insights from Particle Imaging Velocimetry Gyroscope (PIVG)","year":2024,"lang":"en","type":"article","venue":"Fluids","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle image velocimetry; Velocimetry; Physics; Gyroscope; Particle tracking velocimetry; Toroid; Mechanics; Optics; Turbulence; Nuclear physics; Plasma","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":[0.00006582336,0.0001467462,0.0001393472,0.00005186436,0.00005816647,0.0001026564,0.0002824639,0.00006795424,0.00009032484],"category_scores_gemma":[0.00003468064,0.000107365,0.0000465736,0.0005038845,0.0000678608,0.0002823311,0.00005283565,0.0002061697,0.000109125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005214891,"about_ca_system_score_gemma":0.00001676983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367557,"about_ca_topic_score_gemma":0.00002346083,"domain_scores_codex":[0.99927,0.00002067834,0.0001901817,0.0001927974,0.0001249113,0.000201388],"domain_scores_gemma":[0.9994642,0.00008232796,0.00001204321,0.0003736126,0.00002871046,0.00003915913],"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":[0.00000984418,0.00002000441,0.0159225,0.00002576272,0.000107574,0.0000227394,0.001044521,0.005522253,0.9628924,0.001625459,0.001496231,0.01131074],"study_design_scores_gemma":[0.0002071254,0.00004127212,0.08075926,0.0001630472,0.0000610627,0.000003322003,0.0007249158,0.103706,0.8097016,0.001400911,0.002909244,0.0003223045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994437,0.00304197,0.0005143833,0.0001076012,0.0002189618,0.00007140864,0.000009151167,0.001050059,0.0005495075],"genre_scores_gemma":[0.9994876,0.00008445998,0.0002461541,0.00003279735,0.00006469207,0.00001235107,0.000006200864,0.00003463297,0.0000311029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1531908,"threshold_uncertainty_score":0.4378216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071349690477608,"score_gpt":0.2502416268113579,"score_spread":0.2395281299065818,"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."}}