{"id":"W2037422495","doi":"10.1021/acsami.5b01423","title":"Effect of the Polymer Architecture on the Structural and Biophysical Properties of PEG–PLA Nanoparticles","year":2015,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Research Chairs","keywords":"Materials science; Nanoparticle; PEG ratio; Polymer; Nanotechnology; Polymer architecture; Chemical engineering; Composite material","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":[0.0006547914,0.0002252252,0.0003737718,0.00002996538,0.00008924352,0.00008804274,0.0004686622,0.00005828012,0.00005687607],"category_scores_gemma":[0.00008797525,0.00009842135,0.00002087525,0.00009889862,0.0007326627,0.00006893326,0.0003206582,0.00007685844,0.00003230221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001662684,"about_ca_system_score_gemma":0.00003506806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009734502,"about_ca_topic_score_gemma":0.000004797418,"domain_scores_codex":[0.9984035,0.0003477131,0.0003659386,0.0002630681,0.0003628681,0.0002568389],"domain_scores_gemma":[0.9990115,0.0002126528,0.0002352452,0.0004447452,0.00004784142,0.00004804602],"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":[0.001195213,0.00002538015,0.00002625037,0.0001021029,0.00001596026,3.296572e-7,0.00100087,0.00006438239,0.9960215,0.001261179,0.00005558547,0.0002312244],"study_design_scores_gemma":[0.0004417432,0.0003739935,0.00007297815,0.00009436035,0.00004510722,0.000004426512,0.0001930088,0.000002456603,0.9982988,0.0003531882,0.000003152301,0.0001167381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984288,0.0001852745,3.085735e-7,0.000409055,0.0003465821,0.0005028334,0.00005024219,0.00003330296,0.00004360608],"genre_scores_gemma":[0.9997554,0.000001820081,0.00001322016,0.00007679317,0.00006107779,0.00004983101,5.385514e-7,0.00001979585,0.00002149877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002277324,"threshold_uncertainty_score":0.4013506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284707287526519,"score_gpt":0.2208560692559528,"score_spread":0.2080089963806876,"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."}}