{"id":"W4311611318","doi":"10.1080/00221686.2022.2132309","title":"Energy dissipation in a rapid filling vertical pipe with trapped air","year":2022,"lang":"en","type":"article","venue":"Journal of Hydraulic Research","topic":"Water Systems and Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Fok Ying Tong Education Foundation; National Natural Science Foundation of China","keywords":"Dissipation; Mechanics; Energy (signal processing); Thermal management of electronic devices and systems; Environmental science; Geology; Materials science; Meteorology; Physics; Thermodynamics; 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":[0.001025618,0.00006251454,0.0001483043,0.0004368261,0.0000886105,0.00002921831,0.000155394,0.00002749182,0.00009538083],"category_scores_gemma":[0.0000226426,0.00004928657,0.00003481662,0.0005416014,0.00001867093,0.0001667433,0.00002885471,0.0004509535,0.00000143297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851583,"about_ca_system_score_gemma":0.00005666565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005391248,"about_ca_topic_score_gemma":0.00006533882,"domain_scores_codex":[0.9984844,0.0002033262,0.000317914,0.00007448064,0.0006853243,0.0002345242],"domain_scores_gemma":[0.9996355,0.00007328093,0.00002641749,0.00009581736,0.00009122824,0.00007777888],"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":[0.0001581671,0.00006377015,0.0007526783,0.00003117279,0.00002757947,0.000159236,0.001002395,0.989316,0.001747823,0.00007552035,0.003081006,0.003584598],"study_design_scores_gemma":[0.002141146,0.001270272,0.007710151,0.0001533747,0.00001015901,0.0003214787,0.001065522,0.9377266,0.008699523,0.0002635576,0.04040583,0.0002323491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525909,0.0008817129,0.04064631,0.0009161653,0.0002892516,0.0001480609,0.000001824183,0.00002896893,0.004496797],"genre_scores_gemma":[0.9994513,0.00006493349,0.0001778208,0.00001404938,0.0001151541,0.00001645636,0.00000277382,0.00001889714,0.0001385769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05158942,"threshold_uncertainty_score":0.2009848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813060847480127,"score_gpt":0.2694335733230664,"score_spread":0.2413029648482652,"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."}}