{"id":"W4309785809","doi":"10.3390/pharmaceutics14112516","title":"Plug and Pop: A 3D-Printed, Modular Platform for Drug Delivery Using Clinical Ultrasound and Microbubbles","year":2022,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Microbubbles; Drug delivery; Ultrasound; In vivo; Biomedical engineering; Medicine; Dextran; Modular design; Nanotechnology; Computer science; Materials science; Radiology; Chemistry; Biotechnology; Chromatography; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002439377,0.000134006,0.0001622799,0.00004899605,0.0002966576,0.0000449145,0.0001041299,0.00003603154,0.00003597508],"category_scores_gemma":[0.00001386575,0.0001497586,0.00004740769,0.00008199535,0.00006588946,0.00008221028,0.00006854768,0.0002508535,0.0000017034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005265113,"about_ca_system_score_gemma":0.00002044892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001345079,"about_ca_topic_score_gemma":0.000008613016,"domain_scores_codex":[0.9992383,0.00001571395,0.0002331218,0.0001926156,0.00008175939,0.0002385475],"domain_scores_gemma":[0.9993987,0.0003073278,0.00003108348,0.0001266542,0.00002418246,0.0001120241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001680639,0.0003742247,0.03656181,0.000612675,0.0008025613,0.00001246528,0.00319265,0.05615865,0.8411016,0.001427933,0.002509975,0.05707741],"study_design_scores_gemma":[0.002100385,0.00003433215,0.001048661,0.00001614832,0.0003370002,0.0002463403,0.0007882284,0.559778,0.007342473,0.001024089,0.4267254,0.0005589853],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930062,0.002763524,0.003272169,0.00004309278,0.0001887047,0.0003299001,0.0001642597,0.0001219353,0.000110232],"genre_scores_gemma":[0.9900233,0.001462214,0.007961442,0.0002557736,0.0001165869,0.00005692919,0.00002867872,0.00004392422,0.00005118933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8337591,"threshold_uncertainty_score":0.610698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06553636282562254,"score_gpt":0.3270963340802803,"score_spread":0.2615599712546577,"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."}}