{"id":"W2804999116","doi":"10.3390/molecules23061281","title":"Hyperbranched Polyglycerol Derivatives as Prospective Copper Nanotransporter Candidates","year":2018,"lang":"en","type":"article","venue":"Molecules","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences; Deutsche Forschungsgemeinschaft; North Dakota Established Program to Stimulate Competitive Research; Office of Experimental Program to Stimulate Competitive Research; National Science Foundation; National Institutes of Health; Freie Universität Berlin","keywords":"Nanocarriers; Copper; Chemistry; Surface modification; Cationic polymerization; Conjugated system; Chelation; Combinatorial chemistry; Drug delivery; Polymer chemistry; Organic chemistry; Polymer","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":[0.00008141305,0.0002584693,0.0000981328,0.0001620673,0.00006809527,0.0002139067,0.0001262794,0.0001863306,0.0005038254],"category_scores_gemma":[0.00008903389,0.00008591622,0.00008847073,0.0001543478,0.000123664,0.0002262591,0.000181342,0.0001981846,0.0002254333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002518919,"about_ca_system_score_gemma":0.0001251374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002760863,"about_ca_topic_score_gemma":0.000515081,"domain_scores_codex":[0.9999619,0.000009928875,0.00000273753,0.000007007307,0.000008093285,0.00001037394],"domain_scores_gemma":[0.9999502,0.000006770218,0.00001566757,0.000004089571,0.000006898246,0.0000163809],"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":[0.00008522796,0.0000149224,0.0001617208,0.00003343883,0.000003935278,0.00007656319,0.00001684874,0.0004185708,0.9952896,0.000397892,0.00004483584,0.003456496],"study_design_scores_gemma":[0.000008978512,0.0002323043,0.0006349075,0.000003701292,0.0000117873,0.00008585223,0.00001047874,0.0009701164,0.9940608,0.00006464504,0.003910356,0.00000602806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936386,0.001318814,0.003484081,0.00007726642,0.00001344525,0.00002639718,0.0000683128,0.00006070608,0.001312449],"genre_scores_gemma":[0.9933884,0.001084515,0.003378929,0.00003580296,0.000005662549,0.00001937182,0.00009831463,0.00001947021,0.001969573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005038254,"threshold_uncertainty_score":0.001827598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007274067776581504,"score_gpt":0.2398466824920898,"score_spread":0.2325726147155083,"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."}}