{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002022486,0.0005770582,0.0002179036,0.0002310786,0.0000722999,0.0002038827,0.0001331624,0.0002545966,0.0007812324],"category_scores_gemma":[0.0001516505,0.0001659142,0.0002374559,0.0001383647,0.000184403,0.0003396774,0.0002042826,0.0003119305,0.0003264168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982108,"about_ca_system_score_gemma":0.0001868798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001924516,"about_ca_topic_score_gemma":0.0004792504,"domain_scores_codex":[0.9998968,0.00002708113,0.00001323913,0.00001608717,0.0000273944,0.00001941918],"domain_scores_gemma":[0.999896,0.000008932216,0.00004809863,0.000009311557,0.00001206948,0.00002549755],"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":[0.00004120116,0.000005751989,0.00004524109,0.0000245219,0.000003451824,0.00002056326,0.000004457077,0.00004935414,0.9989448,0.00008734556,0.000008151247,0.0007651622],"study_design_scores_gemma":[0.00001857022,0.0002239577,0.0005319315,0.000004531017,0.00001191885,0.0001229645,0.00000349428,0.0003217737,0.9975477,0.00005047472,0.001158587,0.000004234386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982094,0.003203934,0.01210482,0.0001090691,0.00004187985,0.0001046066,0.0002072939,0.0001659593,0.001968367],"genre_scores_gemma":[0.9834464,0.001523562,0.01248699,0.0001086738,0.00001815364,0.00006413838,0.0003731369,0.00004235707,0.001936663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007812324,"threshold_uncertainty_score":0.002613485,"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."}}