{"id":"W4311990372","doi":"10.1002/adfm.202211422","title":"3D Acoustofluidics via Sub‐Wavelength Micro‐Resonators","year":2022,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Australian Research Council; Ontario Ministry of Natural Resources and Forestry; University of Melbourne; Medical Research Council; RMIT University; Australian National Fabrication Facility","keywords":"Microscale chemistry; Resonator; Materials science; Wavelength; Acoustics; Acoustic wave; Nanotechnology; Optoelectronics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002007659,0.0003196759,0.000272992,0.0001657651,0.0001782443,0.0003969739,0.0005003685,0.0003976319,0.0009541925],"category_scores_gemma":[0.0002137224,0.0003597974,0.0003113796,0.0001031897,0.0005066248,0.0003123882,0.0005261668,0.0004908504,0.0004996755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005008782,"about_ca_system_score_gemma":0.0003503122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000684351,"about_ca_topic_score_gemma":0.001382784,"domain_scores_codex":[0.9997632,0.00001850889,0.00001277329,0.00005732085,0.0001241407,0.00002401276],"domain_scores_gemma":[0.9998057,0.00006363665,0.00006707085,0.00002868214,0.00002112216,0.00001378477],"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":[0.00001010498,0.000007314599,0.00004973002,0.00002089451,0.000003345551,0.000024045,0.00002422255,0.0007489917,0.9965951,0.0008047207,0.0001173125,0.001594192],"study_design_scores_gemma":[0.00003374369,0.00009852868,0.0006508217,0.000004453346,0.000009065723,0.0001448702,0.00001959835,0.02437636,0.9649039,0.0004577055,0.009262448,0.00003847819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7899082,0.001739129,0.1940838,0.000665241,0.0003587264,0.0001457977,0.0004974256,0.002019696,0.01058194],"genre_scores_gemma":[0.8037347,0.0006696543,0.1910082,0.000168134,0.00007402613,0.0001627126,0.0001390462,0.00008677523,0.003956709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009541925,"threshold_uncertainty_score":0.003634095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007957553242258532,"score_gpt":0.181052492729595,"score_spread":0.1730949394873365,"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."}}