{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001588798,0.0004419104,0.0002584368,0.000177727,0.0001687317,0.0002745395,0.0002345986,0.0004397905,0.001505595],"category_scores_gemma":[0.0001771126,0.0001735427,0.0002315146,0.00007926303,0.000308177,0.0003106212,0.0003050385,0.0003638762,0.0006516236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00045333,"about_ca_system_score_gemma":0.0002119631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004243408,"about_ca_topic_score_gemma":0.0007374082,"domain_scores_codex":[0.9998883,0.00001217765,0.000009334814,0.00003326294,0.00003425205,0.0000227308],"domain_scores_gemma":[0.9998177,0.00003392409,0.00006122536,0.00002076878,0.00003419193,0.00003215804],"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":[0.00001944251,0.000006934617,0.00002188797,0.00002235919,0.000002161518,0.00001518714,0.000006416905,0.00007791393,0.9991009,0.00006089386,0.00001973845,0.0006462819],"study_design_scores_gemma":[0.000002278231,0.00003880902,0.0001149052,8.941961e-7,0.000004025942,0.00003140589,0.000002145722,0.0003626854,0.9987389,0.00001049985,0.0006909223,0.000002483656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621389,0.001268782,0.0316634,0.0002300232,0.00008967315,0.0001560982,0.0001925378,0.0005306626,0.003729937],"genre_scores_gemma":[0.9755387,0.0004637667,0.02018524,0.0001109185,0.00001741749,0.00007454205,0.0001062403,0.00006169284,0.003441631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001505595,"threshold_uncertainty_score":0.005036652,"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."}}