{"id":"W2047224980","doi":"10.1063/1.4788677","title":"Microbubble array for on-chip worm processing","year":2013,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Defense Advanced Research Projects Agency","keywords":"Microfluidics; Microbubbles; Trapping; Drag; Acoustic radiation force; Flow (mathematics); Mechanism (biology); Acoustics; Materials science; Nanotechnology; Mechanics; Physics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001541958,0.0004884045,0.0003291015,0.0004072122,0.0001796184,0.0002954266,0.0007903203,0.0007633385,0.005940123],"category_scores_gemma":[0.0003413076,0.0002108463,0.0002038942,0.0001819539,0.0001420785,0.0004681371,0.0004106111,0.0004952243,0.002493852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002583855,"about_ca_system_score_gemma":0.0002189574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003048876,"about_ca_topic_score_gemma":0.001004451,"domain_scores_codex":[0.9997856,0.00002394479,0.000008748249,0.00004500948,0.0001167842,0.00001996849],"domain_scores_gemma":[0.9998615,0.00003898872,0.00002348888,0.000021809,0.0000365548,0.00001766423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004739556,0.00004252078,0.00008755338,0.00009000448,0.000007816828,0.0000697077,0.00001184585,0.0004859644,0.9693551,0.00067855,0.0007722949,0.02835133],"study_design_scores_gemma":[0.00002208847,0.0002574261,0.0006859945,0.00001463752,0.00001905751,0.0002184828,0.00001049542,0.0143314,0.9642928,0.0003296914,0.01979837,0.00001949366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2189579,0.007381316,0.7382522,0.001234439,0.001087441,0.0006811167,0.0009802966,0.005191533,0.02623371],"genre_scores_gemma":[0.4576613,0.002225286,0.5027123,0.001080205,0.0001673146,0.0007319325,0.0006880865,0.000311385,0.0344221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005940123,"threshold_uncertainty_score":0.01987165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141259990410451,"score_gpt":0.1883114887953148,"score_spread":0.1768988888912103,"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."}}