{"id":"W2923535877","doi":"10.1115/1.4043235","title":"Transmission Line Modeling of Laminar Liquid Wave Propagation in Tapered Tubes","year":2019,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Laminar flow; Transmission line; Inlet; Acoustics; Transmission (telecommunications); Mechanics; Line (geometry); Wave propagation; Variable (mathematics); Materials science; Electronic engineering; Computer science; Optics; Physics; Mechanical engineering; Engineering; Mathematics; Telecommunications; Mathematical analysis; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000201086,0.0004383154,0.0003122789,0.0003143265,0.0002024046,0.0005135703,0.0008605386,0.0006780153,0.001366443],"category_scores_gemma":[0.0006581164,0.0002703283,0.0004272012,0.00031499,0.0003550031,0.0008640342,0.000320775,0.0004487408,0.0004136604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003353405,"about_ca_system_score_gemma":0.0004242472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002094587,"about_ca_topic_score_gemma":0.0009946001,"domain_scores_codex":[0.9998598,0.00003840301,0.000006871256,0.00001871892,0.0000659895,0.00001009587],"domain_scores_gemma":[0.9997801,0.00009717296,0.00004455339,0.00001970071,0.0000511315,0.000007340741],"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":[0.00004412403,0.00002940539,0.0003835871,0.0000827129,0.00001287,0.0002278519,0.0001212395,0.9415273,0.02719044,0.01220539,0.0003358343,0.01783926],"study_design_scores_gemma":[0.000002493495,0.00001328122,0.00003232568,0.000003060199,0.00000200309,0.00001818585,0.000004659794,0.9974223,0.001785355,0.0003013359,0.0004120504,0.000002932641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02824829,0.000169581,0.9678724,0.00005481777,0.00002043856,0.00002545709,0.00005038908,0.0003383324,0.0032203],"genre_scores_gemma":[0.7785671,0.001183373,0.2062111,0.00006834793,0.00005201839,0.0001811182,0.0001887975,0.000190523,0.01335762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002094587,"threshold_uncertainty_score":0.004571199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184359143503908,"score_gpt":0.2288207647461554,"score_spread":0.2169771733111163,"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."}}