{"id":"W2075490719","doi":"10.1016/j.bpj.2014.11.1810","title":"Phase Change Nanoemulsions for Cancer Therapy and Imaging","year":2015,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Nanocarriers; Microbubbles; Drug delivery; Materials science; Dynamic light scattering; Nanotechnology; Liposome; Sonication; Nanoparticle; Nanomedicine; Biomedical engineering; Chemistry; Biophysics; Ultrasound; Chromatography","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":[0.00028162,0.0002450964,0.0001542951,0.0002335481,0.0001795201,0.0002707965,0.00021154,0.0003300778,0.001007014],"category_scores_gemma":[0.0002177405,0.0001544405,0.0001538899,0.0001247238,0.0002595836,0.0005725455,0.0002442135,0.0006032676,0.0003550219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003017339,"about_ca_system_score_gemma":0.0002227946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004328049,"about_ca_topic_score_gemma":0.0007568568,"domain_scores_codex":[0.9999505,0.000009270568,0.000002908538,0.00001104507,0.00001624111,0.00001013982],"domain_scores_gemma":[0.9999378,0.00002194999,0.00001282968,0.000005206717,0.00001441047,0.000007795811],"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":[0.00003243393,0.00002026302,0.00003654676,0.00006679534,0.000003615419,0.00003178698,0.00003238948,0.0001643757,0.990079,0.001475016,0.000304632,0.007753015],"study_design_scores_gemma":[0.00001799936,0.0000850058,0.0001766954,0.000008205651,0.000009349171,0.0001210754,0.0000176716,0.001490886,0.9867696,0.0004876035,0.01080984,0.000006169832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7575117,0.02587981,0.1992138,0.002559813,0.0005642796,0.0002744466,0.0003879667,0.0009553027,0.01265283],"genre_scores_gemma":[0.9222893,0.008851731,0.05447986,0.0007095343,0.00009987637,0.0001385013,0.0002616515,0.0001931442,0.01297639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001007014,"threshold_uncertainty_score":0.003368795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07002209641937836,"score_gpt":0.3358054301387135,"score_spread":0.2657833337193352,"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."}}