{"id":"W3082618557","doi":"10.3390/molecules25173995","title":"Telodendrimers: Promising Architectural Polymers for Drug Delivery","year":2020,"lang":"en","type":"review","venue":"Molecules","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dendrimer; Nanocarriers; Nanotechnology; Drug delivery; Macromolecule; Linear polymer; Polymer; Variety (cybernetics); Polymer architecture; Materials science; Computer science; Combinatorial chemistry; Chemistry; Organic chemistry; Polymer chemistry","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":[0.0001833322,0.0006636631,0.001690674,0.0001851391,0.0002194378,0.0002371213,0.0007461482,0.0002059232,0.0003214698],"category_scores_gemma":[0.00005228591,0.0005474585,0.0008958137,0.0002291503,0.0001848357,0.0001031292,0.0001838427,0.000293152,0.0003692351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009654578,"about_ca_system_score_gemma":0.0004602311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001074636,"about_ca_topic_score_gemma":0.00001787067,"domain_scores_codex":[0.9972247,0.0001674851,0.0006270974,0.0008872916,0.0003247353,0.0007686133],"domain_scores_gemma":[0.9986932,0.0001964459,0.0003688928,0.0004228059,0.00003659181,0.0002820323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002135993,0.00001934409,1.03878e-7,0.004822674,0.00009968103,0.00004392358,0.0002772637,0.000001065267,0.002402674,0.00007198425,0.001459899,0.9907801],"study_design_scores_gemma":[0.000230355,0.00004842756,1.38081e-7,0.002372968,0.0007787058,0.00007513658,0.00003844056,0.000016696,0.005408604,0.00002831739,0.9903271,0.0006750856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001392178,0.9955196,0.0003521772,0.0001193746,0.000908553,0.001106072,0.0003333233,0.0001820467,0.001339624],"genre_scores_gemma":[0.00005498407,0.9927244,0.004686037,0.0002313683,0.0006038874,0.0002768697,0.0002012561,0.0002075967,0.001013623],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9901049,"threshold_uncertainty_score":0.9996977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137631244121258,"score_gpt":0.2956341544565659,"score_spread":0.2642578420153533,"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."}}