{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008569471,0.0001973309,0.0002559385,0.00005668151,0.00004762661,0.00003921959,0.0001727053,0.0001406884,0.01335703],"category_scores_gemma":[0.00001106639,0.0001798806,0.00009038432,0.00007438603,0.00002045443,0.00004569802,0.00001961584,0.0001332064,0.006646745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009962262,"about_ca_system_score_gemma":0.00003367404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002463564,"about_ca_topic_score_gemma":0.00002754161,"domain_scores_codex":[0.9987694,0.00005630509,0.0002377191,0.0004204552,0.0002362269,0.0002799172],"domain_scores_gemma":[0.9991195,0.0002605659,0.00006829722,0.0004224193,0.00003803579,0.00009115378],"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":[0.0007052257,0.00007331915,0.01484765,0.00004264379,0.00002919662,0.00002735732,0.00035152,0.0005793073,0.9810557,0.000001370992,0.001908518,0.000378167],"study_design_scores_gemma":[0.005105834,0.0003465672,0.1426693,0.0009681588,0.000110066,0.00002216487,0.002072533,0.01172907,0.8157425,0.0003478105,0.01914432,0.001741653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945694,0.00003597414,0.0001102113,0.001426928,0.0002872228,0.0001709615,0.000343522,0.00006683436,0.002988972],"genre_scores_gemma":[0.9935061,0.000001181325,0.00009705703,0.003626188,0.00004513709,0.00001871535,0.00007029707,0.00004088032,0.002594453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1653132,"threshold_uncertainty_score":0.9941267,"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."}}