{"id":"W1912025418","doi":"10.1039/c5lc00315f","title":"Size reduction of cosolvent-infused microbubbles to form acoustically responsive monodisperse perfluorocarbon nanodroplets","year":2015,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Hospital; Toronto Public Health; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Prostate Cancer Canada","keywords":"Dispersity; Microbubbles; Reduction (mathematics); Nanotechnology; Chemical engineering; Materials science; Chemistry; Biomedical engineering; Acoustics; Engineering; Ultrasound; Mathematics; Physics","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":[0.000174547,0.0003346797,0.0001404027,0.0002040593,0.0000799579,0.000177107,0.0001742985,0.0002271479,0.0006025304],"category_scores_gemma":[0.0002764103,0.0001520401,0.0001837854,0.00008230982,0.0001880678,0.0002500675,0.0001920668,0.0002958149,0.0001945902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003161939,"about_ca_system_score_gemma":0.0001733179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005542479,"about_ca_topic_score_gemma":0.0007360546,"domain_scores_codex":[0.9998789,0.00001174015,0.000009426045,0.0000353215,0.00004378059,0.00002090753],"domain_scores_gemma":[0.9998572,0.00003743983,0.00005386755,0.00001011558,0.00002246031,0.00001899074],"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":[0.000007063049,0.000004236369,0.0000176622,0.000007934796,9.022589e-7,0.000009857737,0.000007994247,0.00004217115,0.9992272,0.00004662053,0.00001145172,0.0006168088],"study_design_scores_gemma":[0.000001940563,0.00002287786,0.000109408,6.669502e-7,0.000001082884,0.00001240945,0.000001764641,0.0004299031,0.9990031,0.000006777268,0.0004089575,0.000001161199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740164,0.001293931,0.02237953,0.0001543015,0.00006342566,0.00007395988,0.0001290485,0.0001908079,0.001698607],"genre_scores_gemma":[0.9795728,0.000836654,0.01693138,0.0000867936,0.00002236309,0.00007310009,0.0001526598,0.00006770046,0.002256462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006025304,"threshold_uncertainty_score":0.002294123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520583191529224,"score_gpt":0.2270800786996373,"score_spread":0.2118742467843451,"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."}}