{"id":"W4386279428","doi":"10.1021/acs.biomac.3c00434","title":"Single Functional Group Platform for Multistimuli Responsivities: Tertiary Amine for CO<sub>2</sub>/pH/ROS-Triggered Cargo Release in Nanocarriers","year":2023,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nanocarriers; Curcumin; Chemistry; Nanomedicine; Tertiary amine; Micelle; Drug delivery; Nanoparticle; Nanotechnology; Amine gas treating; Biophysics; Nigericin; Controlled release; In vitro; Reactive oxygen species; Combinatorial chemistry; Aqueous solution; Materials science; Biochemistry; Organic chemistry; Biology","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":[0.0003053241,0.0002982003,0.0002551119,0.0002440984,0.0002170413,0.00004333882,0.0002497882,0.000332769,0.00000654413],"category_scores_gemma":[0.000560835,0.0003108343,0.0002283425,0.0004248339,0.0003135109,0.00001058165,0.0001141513,0.00007608087,0.00002396678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008594484,"about_ca_system_score_gemma":0.0001462912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002258793,"about_ca_topic_score_gemma":0.0001252173,"domain_scores_codex":[0.9979627,0.00003860801,0.000458723,0.0007233102,0.0002281133,0.0005885973],"domain_scores_gemma":[0.9988684,0.0002297618,0.0001298299,0.0004319884,0.0001229541,0.0002170526],"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":[0.0007365591,0.0001846968,0.0001631351,0.00009050939,0.00006615065,0.00001346423,0.00004683988,0.000008096015,0.9736244,0.0002140205,0.01890931,0.005942839],"study_design_scores_gemma":[0.003160377,0.0004774603,0.003203084,0.00003606484,0.00003356338,0.00002263229,0.0001765321,0.0008365033,0.9209715,0.0007233528,0.06993228,0.0004266211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788032,0.0003245653,0.01645923,0.000507042,0.0002361656,0.001280947,0.002254135,0.0001010683,0.00003360161],"genre_scores_gemma":[0.9862229,0.00005724084,0.002183405,0.000384889,0.0003189323,0.001514685,0.008958178,0.00008425019,0.0002755472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05265285,"threshold_uncertainty_score":0.9999344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130903363275299,"score_gpt":0.2684467124925922,"score_spread":0.2471376788598392,"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."}}