{"id":"W2769903961","doi":"10.1109/ultsym.2017.8091573","title":"Microfluidic shrinking of microbubble contrast agents","year":2017,"lang":"en","type":"article","venue":"2017 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Microbubbles; Materials science; Microfluidics; Ultrasound; Contrast (vision); Nanotechnology; Biomedical engineering; Acoustics; Computer science; Medicine; Physics","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":[0.000110563,0.0002391276,0.0002013913,0.0002034394,0.0001467493,0.0003210751,0.0002738462,0.0002122131,0.001109303],"category_scores_gemma":[0.0002695488,0.0001383157,0.0001701087,0.00009141524,0.0001932996,0.0002952514,0.0002484148,0.0002889456,0.000321918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017,"about_ca_system_score_gemma":0.0003018795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005934123,"about_ca_topic_score_gemma":0.000727437,"domain_scores_codex":[0.9999009,0.000006830547,0.000007246781,0.00002924421,0.00002504099,0.00003067978],"domain_scores_gemma":[0.9999112,0.00002689738,0.00002558416,0.000008995818,0.00001107895,0.00001622223],"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":[0.00004616993,0.00001750075,0.00007382664,0.00004346448,0.000003171363,0.00005216688,0.0000248116,0.000186985,0.9944814,0.0006862506,0.0002385575,0.004145741],"study_design_scores_gemma":[0.00001371519,0.0000651027,0.0004904343,0.00000375715,0.000004745589,0.00004137978,0.000008481511,0.00251222,0.9913346,0.00009309164,0.005427534,0.000005014349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951812,0.005510966,0.02822112,0.0007738825,0.0006373119,0.0001652668,0.0003626862,0.0006168729,0.01189973],"genre_scores_gemma":[0.9830702,0.001605369,0.008573978,0.0002446085,0.00009767331,0.00009587416,0.0001270737,0.00004011063,0.006145196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001109303,"threshold_uncertainty_score":0.003710985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421923842253604,"score_gpt":0.2688686462298904,"score_spread":0.2446494078073544,"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."}}