{"id":"W1833758908","doi":"10.1139/tcsme-2013-0005","title":"DESIGN AND MODELLING OF FAST SWITCHING EFFICIENT SEAT VALVES FOR DIGITAL DISPLACEMENT PUMPS","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluid power; Displacement (psychology); Body orifice; Positive displacement meter; Mechatronics; Valve actuator; Valve seat; Mechanical engineering; Power (physics); Globe valve; Engineering; Computer science; Automotive engineering; Control engineering; Ball valve","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":[0.0004425462,0.0006176764,0.0008198618,0.0004331599,0.0004505335,0.001469053,0.001085778,0.001694983,0.002891843],"category_scores_gemma":[0.0007824939,0.0006274784,0.0008206602,0.0003385798,0.0007174357,0.0005337796,0.0004686858,0.0004785114,0.0005181733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009037253,"about_ca_system_score_gemma":0.001321411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005360959,"about_ca_topic_score_gemma":0.003622875,"domain_scores_codex":[0.9997247,0.00005209951,0.00001631081,0.00003717778,0.0001301048,0.00003958188],"domain_scores_gemma":[0.9997855,0.0001029653,0.00004479913,0.00001650315,0.00003509663,0.00001522896],"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":[0.00004060906,0.00001688552,0.0002129746,0.00008930692,0.000006630372,0.00005335598,0.00005779279,0.9842163,0.007540714,0.002964917,0.0001563156,0.004644322],"study_design_scores_gemma":[0.00001527895,0.00003536626,0.0001202514,0.000008975782,0.000005481242,0.00001539145,0.00001293877,0.9958971,0.001808582,0.000501761,0.001572607,0.000006391657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1076724,0.00117742,0.8632941,0.0002392627,0.00008964449,0.0001972176,0.0003935023,0.0007512114,0.02618524],"genre_scores_gemma":[0.907339,0.0009920342,0.07821046,0.00003828502,0.00001986809,0.0003302862,0.0002092155,0.00009990975,0.01276093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005360959,"threshold_uncertainty_score":0.01065952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534259467859529,"score_gpt":0.1836008501872057,"score_spread":0.1682582555086104,"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."}}