{"id":"W2916772989","doi":"10.1039/c9sm00009g","title":"Responsive morphology transition from micelles to vesicles based on dynamic covalent surfactants","year":2019,"lang":"en","type":"article","venue":"Soft Matter","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shandong Province; China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Micelle; Vesicle; Morphology (biology); Chemical engineering; Covalent bond; Chemistry; Nanotechnology; Chemical physics; Materials science; Biophysics; Organic chemistry; Geology; Aqueous solution; Biology; Biochemistry","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":[0.0001301039,0.00035175,0.0001785219,0.0001651974,0.0001022594,0.0002399535,0.0002479713,0.0003142642,0.0004676132],"category_scores_gemma":[0.0002611562,0.0001750919,0.0002152423,0.00011686,0.0002046616,0.0003591562,0.0002986148,0.0004050454,0.0002468144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075943,"about_ca_system_score_gemma":0.0001496094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003462766,"about_ca_topic_score_gemma":0.0006533394,"domain_scores_codex":[0.9998876,0.00001642044,0.00001161092,0.00002678241,0.00003197765,0.00002563421],"domain_scores_gemma":[0.9998728,0.00002694932,0.00004116874,0.00001093361,0.00002549448,0.00002272696],"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":[0.000009937035,0.00000452732,0.00003843916,0.00002238308,0.000002204919,0.00002677806,0.000007624964,0.00003137349,0.9989302,0.00007761407,0.000007745572,0.0008411686],"study_design_scores_gemma":[0.000003245206,0.0000385371,0.0001889284,0.000002106656,0.00000367383,0.00004753798,0.000004086542,0.0004622032,0.9985695,0.00001404258,0.0006638208,0.000002271083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971109,0.003745665,0.02249004,0.0001577492,0.00006847033,0.00009240678,0.00009419205,0.0001793472,0.002063105],"genre_scores_gemma":[0.9879389,0.001511347,0.00853286,0.00008512,0.00001115037,0.00004993998,0.00009648102,0.00003331497,0.001740757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004676132,"threshold_uncertainty_score":0.001564264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005862530448134277,"score_gpt":0.2169028221507973,"score_spread":0.211040291702663,"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."}}