{"id":"W2761377460","doi":"10.1021/acs.biomac.7b01106","title":"Glycopolymers Bearing Galactose and Betulin: Synthesis, Encapsulation, and Lectin Recognition","year":2017,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Natural product bioactivities and synthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Copolymer; Dynamic light scattering; Comonomer; Glycopolymer; Chemistry; Amphiphile; Betulin; Polymer chemistry; Micelle; Monomer; Nile red; Hydrodynamic radius; Polymerization; Raft; Organic chemistry; Materials science; Polymer; Nanoparticle; Nanotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001578027,0.0001574593,0.0001324173,0.00003996457,0.0005042318,0.0001810425,0.0001192236,0.000134936,0.00001348918],"category_scores_gemma":[0.0004284145,0.0001483811,0.00004303929,0.00002067437,0.0002392649,0.00001686367,0.0001525444,0.00005345451,0.000003040341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006712834,"about_ca_system_score_gemma":0.00001863818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001595543,"about_ca_topic_score_gemma":0.00004832577,"domain_scores_codex":[0.9991392,0.0000448989,0.0001405734,0.0003992529,0.00008396877,0.000192033],"domain_scores_gemma":[0.9993914,0.00002428013,0.0001308246,0.0003331845,0.00003998732,0.00008029362],"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":[0.00006231119,0.00001614838,0.002584572,0.00002271147,0.00004786565,0.00000435718,0.0000257716,3.938685e-8,0.8861984,0.00002019352,0.0001870287,0.1108306],"study_design_scores_gemma":[0.0002074382,0.00006824816,0.03038136,0.00002902642,0.00003389264,0.00005280897,0.0000646231,0.00001362598,0.9663502,0.0002950836,0.00226485,0.0002388639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995797,0.002346916,0.0000823903,0.0007565607,0.0001256482,0.0001124351,0.00002514529,0.00001466218,0.0007392408],"genre_scores_gemma":[0.997884,0.0007415756,0.0009298939,0.00005620187,0.0001791333,0.00001180978,0.00002856296,0.00002005257,0.0001487619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105917,"threshold_uncertainty_score":0.6050804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161177410654315,"score_gpt":0.2485316655555231,"score_spread":0.2324139244900916,"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."}}