{"id":"W4386071121","doi":"10.11159/htff23.182","title":"Numerical Analysis of Newtonian Fluid Flow Through Multi-Hole Orifice Meter","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Authority for Applied Education and Training","keywords":"Body orifice; Non-Newtonian fluid; Mechanics; Flow measurement; Flow (mathematics); Magnetic flow meter; Orifice plate; Fluid dynamics; Metre; Newtonian fluid; Computer science; Mechanical engineering; Physics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006046394,0.0003467007,0.0004989097,0.0005183306,0.0004656294,0.0005326203,0.0004324812,0.0007279147,0.001044714],"category_scores_gemma":[0.001190673,0.0001651577,0.0003329234,0.0004822628,0.0004844793,0.000444825,0.0003262224,0.0003016936,0.00008818974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003896113,"about_ca_system_score_gemma":0.0005474159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00199438,"about_ca_topic_score_gemma":0.0009929016,"domain_scores_codex":[0.9997352,0.00004783697,0.0000217958,0.00004483885,0.0001140238,0.00003627944],"domain_scores_gemma":[0.9992419,0.0004101629,0.0001081107,0.00004597421,0.0001614386,0.00003231005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004759803,0.0001867157,0.008633361,0.0005840086,0.00003297521,0.0007829872,0.0007243602,0.6519013,0.2702447,0.008719334,0.0008320495,0.05688222],"study_design_scores_gemma":[0.00001681436,0.0001253138,0.001830683,0.0000162873,0.000006775436,0.00008432935,0.0000630248,0.968322,0.02796719,0.0005512579,0.0009921266,0.00002428245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7100776,0.0009001616,0.2814855,0.0002973466,0.0001171123,0.0001545294,0.0002512064,0.0007192445,0.005997304],"genre_scores_gemma":[0.9161198,0.0003681367,0.08117346,0.00001714954,0.00001074276,0.00008430969,0.00009136103,0.00002381341,0.002111249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00199438,"threshold_uncertainty_score":0.003965497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507821691042072,"score_gpt":0.218494556187544,"score_spread":0.2034163392771232,"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."}}