{"id":"W4411127581","doi":"10.1016/j.jcis.2025.138123","title":"Surface-area-dependent viscoelastic property characterization of monodisperse microbubbles with different phospholipid shells","year":2025,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"Shanghai Jiao Tong University; National Natural Science Foundation of China","keywords":"Characterization (materials science); Viscoelasticity; Dispersity; Phospholipid; Materials science; Microbubbles; Surface (topology); Chemical engineering; Nanotechnology; Composite material; Chemistry; Polymer chemistry; Geometry; Ultrasound; Membrane; Mathematics; Physics; Acoustics; Engineering","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":[0.0003308355,0.0003003731,0.0001564774,0.0003349808,0.0001299405,0.0002074578,0.0001530133,0.0003217254,0.0009026405],"category_scores_gemma":[0.0008155291,0.0001783781,0.0001894786,0.0002040832,0.0002027637,0.0004663039,0.0001699309,0.0003187408,0.00019898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500082,"about_ca_system_score_gemma":0.0001365841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004309459,"about_ca_topic_score_gemma":0.0004581006,"domain_scores_codex":[0.9998517,0.00002164852,0.00001530505,0.00003229763,0.00005016343,0.00002884533],"domain_scores_gemma":[0.9995796,0.00013598,0.00009566411,0.00002445047,0.0001236668,0.00004063562],"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":[0.0000571043,0.000008137987,0.000127396,0.00001166262,0.000002258547,0.00001357672,0.00001992561,0.00004877109,0.9991104,0.00001880733,0.000007854152,0.0005741416],"study_design_scores_gemma":[0.000005314597,0.0001007779,0.002109287,0.000001722474,0.000008245866,0.00002890804,0.00001806898,0.001844403,0.9957164,0.00001524808,0.0001463654,0.000005333882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996749,0.0002374991,0.002575971,0.00003543225,0.0000103412,0.000008026042,0.00005616618,0.00002652738,0.0003009347],"genre_scores_gemma":[0.9960413,0.0002468698,0.002621211,0.00003265916,0.000007362562,0.00002252834,0.0001209546,0.0000145177,0.0008926769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009026405,"threshold_uncertainty_score":0.003019691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005229716837494295,"score_gpt":0.2056751951753038,"score_spread":0.2004454783378095,"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."}}