{"id":"W4408890204","doi":"10.1117/12.3043506","title":"Characterizing single airborne droplets using photoacoustic sensing and acoustic levitation","year":2025,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University; British Columbia Institute of Technology","funders":"","keywords":"Acoustic levitation; Levitation; Photoacoustic imaging in biomedicine; Acoustics; Magnetic levitation; Materials science; Remote sensing; Optics; Physics; Engineering; Electrical engineering; Geology","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":[0.0003270342,0.0004679454,0.0003454144,0.0005631378,0.0002663115,0.000574055,0.0005296296,0.0007232967,0.0008168914],"category_scores_gemma":[0.0006209692,0.0002046924,0.0003139742,0.0004057756,0.0004132562,0.00103019,0.0006832119,0.0005230914,0.0004209171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002991965,"about_ca_system_score_gemma":0.0002051222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005322405,"about_ca_topic_score_gemma":0.0008499954,"domain_scores_codex":[0.9996009,0.00003579194,0.00002192981,0.0001155338,0.0001852218,0.00004058552],"domain_scores_gemma":[0.9996467,0.0001482512,0.00006867738,0.00002496358,0.00008868911,0.00002282219],"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":[0.00002003878,0.00001376629,0.0003686904,0.00006726033,0.000004664093,0.00003362534,0.0000432066,0.0001901531,0.9955387,0.00008034676,0.00002215203,0.003617527],"study_design_scores_gemma":[0.00000592584,0.0002532128,0.001716445,0.000007434774,0.00001336508,0.0001724992,0.0001092632,0.009576225,0.987128,0.0002049656,0.0007936077,0.00001896423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607909,0.002795786,0.1331036,0.0001592657,0.000084452,0.0002227952,0.0002490066,0.0004225521,0.002171493],"genre_scores_gemma":[0.8920583,0.002339001,0.1027286,0.0001618275,0.0000596403,0.000264446,0.0003252775,0.00006800881,0.001994822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008168914,"threshold_uncertainty_score":0.002732754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009735966563734213,"score_gpt":0.2112923741037283,"score_spread":0.2015564075399941,"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."}}