{"id":"W3158889732","doi":"10.3390/fluids6050170","title":"An Analytical Solution for Unsteady Laminar Flow in Tubes with a Tapered Wall Thickness","year":2021,"lang":"en","type":"article","venue":"Fluids","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Water hammer; Laminar flow; Mechanics; Pipeline (software); Transient (computer programming); Tube (container); Flow (mathematics); Pipe flow; Computational fluid dynamics; Frequency domain; Computer science; Physics; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009060823,0.00008217485,0.0001267051,0.00004551199,0.00002530971,0.0000375681,0.00004703714,0.00007350493,0.00001637578],"category_scores_gemma":[0.000008373864,0.0000720285,0.00002029199,0.0001498682,0.000008959421,0.0001372355,0.000005904042,0.00005075943,0.000005309386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004793811,"about_ca_system_score_gemma":0.00002000423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002565814,"about_ca_topic_score_gemma":0.000572987,"domain_scores_codex":[0.9994838,0.00002115793,0.0001300314,0.0001319883,0.00007559087,0.0001574012],"domain_scores_gemma":[0.9997457,0.00001292932,0.000003509594,0.0001424438,0.00005812862,0.00003726098],"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":[0.00007693153,0.0001519658,0.006960668,0.0004593253,0.00007947313,0.00006880997,0.002834539,0.9586992,0.02164398,0.001635102,0.004875191,0.002514825],"study_design_scores_gemma":[0.0004525025,0.00006594786,0.001900651,0.00005386745,0.00001223747,0.00001239021,0.00007592053,0.9936376,0.002138366,0.00001599186,0.001520505,0.0001139963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3419358,0.0002293263,0.6558623,0.0001605617,0.0002777438,0.0002518485,0.00001582696,0.0001861179,0.001080507],"genre_scores_gemma":[0.9898489,0.000006371039,0.009367799,0.0000196991,0.00009339127,0.00003598221,0.0001148653,0.00002477901,0.0004882266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6479131,"threshold_uncertainty_score":0.2937237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287299289205115,"score_gpt":0.2222994131135895,"score_spread":0.2094264202215384,"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."}}