{"id":"W3088987101","doi":"10.1139/tcsme-2020-0105","title":"Prediction of oil film thickness in trochoidal pump","year":2020,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Lubrication; Reynolds equation; Oil pump; Materials science; Mechanics; Coupling (piping); Reliability (semiconductor); Process (computing); Control theory (sociology); Mechanical engineering; Engineering; Composite material; Computer science; Thermodynamics; Physics; Reynolds number; Control (management)","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":[0.0002445136,0.0003865503,0.0004526773,0.000443902,0.0002730146,0.0005918835,0.0004859477,0.0009406933,0.0004877736],"category_scores_gemma":[0.0009642113,0.000401668,0.0005013914,0.0002584454,0.0002937512,0.0006183005,0.0003079133,0.0004351883,0.0001848246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006011503,"about_ca_system_score_gemma":0.0007260339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240499,"about_ca_topic_score_gemma":0.007505677,"domain_scores_codex":[0.9998654,0.00001700764,0.000007641192,0.00003624568,0.00004157752,0.00003212261],"domain_scores_gemma":[0.9997043,0.0001571457,0.00005000435,0.00002078088,0.00005273368,0.00001499957],"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":[0.0001466741,0.0001081288,0.01313749,0.0001027615,0.00001716238,0.0002546998,0.0001047197,0.8876516,0.07786838,0.0007479199,0.0002221902,0.01963833],"study_design_scores_gemma":[0.0000027058,0.00003331362,0.001345415,0.000002586255,0.000003166697,0.00001436218,0.00001103687,0.9916782,0.006776192,0.00005686435,0.00007083217,0.000005335688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917775,0.0002693872,0.1057744,0.00008183393,0.0000156578,0.00003835135,0.0001450105,0.0002886569,0.001609143],"genre_scores_gemma":[0.9944301,0.0001212439,0.004933859,0.000004847345,0.000001209595,0.00001330322,0.00004199392,0.00001109641,0.0004423977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01240499,"threshold_uncertainty_score":0.02466553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680310175710134,"score_gpt":0.1833094859560175,"score_spread":0.1665063841989161,"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."}}