{"id":"W2757799786","doi":"10.3390/mi8100290","title":"Acoustic Manipulation of Bio-Particles at High Frequencies: An Analytical and Simulation Approach","year":2017,"lang":"en","type":"article","venue":"Micromachines","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustic radiation force; Acoustics; Wavelength; Particle (ecology); Finite element method; Position (finance); Acoustic wave; Acoustic radiation; Work (physics); Materials science; Tracking (education); Standing wave; Resolution (logic); Physics; Optics; Ultrasound; Computer science; Radiation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003078646,0.0004314036,0.0005325934,0.0004721367,0.0004713722,0.0006398265,0.0008378113,0.001441391,0.001481957],"category_scores_gemma":[0.0006062441,0.0003271187,0.0006952238,0.0004195099,0.000554832,0.0006035477,0.0004029169,0.0006075432,0.000291856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005611976,"about_ca_system_score_gemma":0.001195921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005621881,"about_ca_topic_score_gemma":0.003857652,"domain_scores_codex":[0.9998974,0.00002452142,0.000004971382,0.00001164098,0.00004694582,0.000014452],"domain_scores_gemma":[0.9997745,0.0001161479,0.00002804304,0.0000203274,0.00004737775,0.00001356166],"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":[0.00002066315,0.00008247758,0.0004189228,0.00009548014,0.000019118,0.00008680709,0.0000701051,0.9710379,0.01117693,0.01143835,0.000194672,0.005358582],"study_design_scores_gemma":[0.000003025779,0.000006443733,0.00003274183,0.000002684759,0.000002057707,0.000006669731,0.000004112995,0.998673,0.0004817906,0.0004536392,0.0003311191,0.000002699208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1434496,0.0008635019,0.8272976,0.0005759914,0.0001399586,0.0002062215,0.0002396519,0.0004292976,0.02679823],"genre_scores_gemma":[0.6664059,0.001649621,0.3211779,0.0001705841,0.00006915706,0.0008439819,0.0002402522,0.0001435095,0.009298968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005621881,"threshold_uncertainty_score":0.01117831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03313722533474761,"score_gpt":0.2632346041241413,"score_spread":0.2300973787893937,"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."}}