{"id":"W4376890769","doi":"10.1177/16878132231158983","title":"Design and optimization of piezoelectric actuators for microflap-embedded micropumps","year":2023,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada Foundation for Innovation","keywords":"Actuator; Micropump; Piezoelectricity; Finite element method; Genetic algorithm; Materials science; Mechanical engineering; Control theory (sociology); Acoustics; Electronic engineering; Computer science; Engineering; Structural engineering; Electrical engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001712299,0.0001305837,0.0001940091,0.0001946926,0.00002235419,0.000007298197,0.0001036687,0.00007726972,0.000005437239],"category_scores_gemma":[0.000048958,0.0001433814,0.00003140257,0.0006359833,0.00001252599,0.00009970157,0.00001609863,0.00009157551,0.000001955741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003828175,"about_ca_system_score_gemma":0.000008970643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.871279e-7,"about_ca_topic_score_gemma":1.196738e-7,"domain_scores_codex":[0.9992489,0.000008403686,0.0002501015,0.0001660172,0.00006482442,0.0002618081],"domain_scores_gemma":[0.9996059,0.0001855106,0.00002327153,0.0001204954,0.00002146789,0.00004333871],"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":[0.000009532879,0.000006331046,0.000001852065,0.0001166846,0.00001105397,6.065006e-7,0.00003316734,0.6253092,0.3594001,0.002254415,0.0002532081,0.01260384],"study_design_scores_gemma":[0.0002405918,0.00003906215,0.000002565845,0.00002596975,0.000009202705,0.000002520169,0.00001420852,0.8008897,0.1958569,0.0004973052,0.002286464,0.0001356023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01154378,0.01667967,0.971121,0.00001082607,0.0000810431,0.0003417038,0.000004130024,0.0002108472,0.000007017294],"genre_scores_gemma":[0.6906974,0.1869725,0.1218067,0.00001380605,0.0000475161,0.0003224448,0.00003249575,0.0000932581,0.00001391296],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8493143,"threshold_uncertainty_score":0.5846924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006410638955358308,"score_gpt":0.2188712436508625,"score_spread":0.2124606046955042,"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."}}