{"id":"W2576518732","doi":"10.1021/acs.biomac.6b01640","title":"“Bitter-Sweet” Polymeric Micelles Formed by Block Copolymers from Glucosamine and Cholic Acid","year":2017,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Université de Montréal; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cholic acid; Micelle; Copolymer; Chemistry; Polymer chemistry; Glucosamine; Polymer science; Polymer; Organic chemistry; Bile acid; Biochemistry; Aqueous solution","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001493189,0.0003361411,0.0003502809,0.00007745406,0.000631154,0.000535792,0.0007262061,0.0001228685,0.0002198269],"category_scores_gemma":[0.00009138381,0.0003113357,0.0000807488,0.0000826757,0.0006706311,0.0003691326,0.000355991,0.00007505253,0.000335579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003866922,"about_ca_system_score_gemma":0.00006060232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002340644,"about_ca_topic_score_gemma":0.0001252379,"domain_scores_codex":[0.9979609,0.0000808703,0.0003545255,0.0006603701,0.00033465,0.0006087252],"domain_scores_gemma":[0.9983641,0.00008197067,0.0003113882,0.000920184,0.00004110305,0.000281273],"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":[0.00007880799,0.00009809851,0.0007560974,0.00001343568,0.00002420286,0.00005467302,0.0001624659,1.009804e-7,0.9938511,0.00002445649,0.001808782,0.003127735],"study_design_scores_gemma":[0.001347591,0.00009802229,0.00331789,0.00003883687,0.0000525322,0.00002283638,0.0001112971,0.00006127501,0.9929167,0.0000617969,0.001577095,0.0003941045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921718,0.005284231,0.00008073467,0.0008691722,0.0004116494,0.000165779,0.0004386593,0.0001344559,0.0004434722],"genre_scores_gemma":[0.9981864,0.00009369002,0.000795529,0.000441133,0.0001234588,0.00002882912,0.00005437425,0.0000464246,0.0002301723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006014543,"threshold_uncertainty_score":0.9999339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009404590987090101,"score_gpt":0.2364093446796179,"score_spread":0.2270047536925278,"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."}}