{"id":"W4386914634","doi":"10.1021/jacs.3c00393","title":"Responsive Nucleic Acid-Based Organosilica Nanoparticles","year":2023,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"H2020 Marie Skłodowska-Curie Actions","keywords":"Nucleic acid; Chemistry; Biomolecule; Nanocarriers; Biocompatibility; Nanomaterials; Nanotechnology; Nanoparticle; Combinatorial chemistry; Drug delivery; Oligonucleotide; Covalent bond; Biocompatible material; Organic chemistry; DNA; Biochemistry; Materials science; Biomedical engineering","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":[0.00009941242,0.0002835144,0.0001200199,0.0001442634,0.0001088843,0.0002261733,0.0001604734,0.0003416158,0.0004696616],"category_scores_gemma":[0.0001253055,0.0002004411,0.0001483635,0.00008172559,0.0002043029,0.0001726891,0.000145544,0.0003241619,0.0003507041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586106,"about_ca_system_score_gemma":0.0001735577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002397294,"about_ca_topic_score_gemma":0.0005953489,"domain_scores_codex":[0.9998842,0.00001665269,0.000009554076,0.00004229215,0.00003320974,0.00001394618],"domain_scores_gemma":[0.9999316,0.0000173253,0.00002110504,0.000006383142,0.00001261168,0.00001092268],"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":[0.000007287451,0.00000337933,0.00001705039,0.0000168659,0.000001687036,0.00001558883,0.000006748319,0.0001511242,0.9992436,0.00009566553,0.00001540125,0.0004257133],"study_design_scores_gemma":[0.000002909679,0.00003362789,0.0001036386,0.000001918633,0.000003274911,0.00003045599,0.000002870295,0.0007264429,0.9979795,0.00002783281,0.001084186,0.00000348998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622242,0.002740406,0.02782948,0.0001502125,0.0001193988,0.00008437584,0.0003078388,0.0003512163,0.006192896],"genre_scores_gemma":[0.9672893,0.001166031,0.02556203,0.000153664,0.00002098419,0.00008481182,0.0003028583,0.0000486608,0.005371592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004696616,"threshold_uncertainty_score":0.001876354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00849063454541097,"score_gpt":0.2726822914886106,"score_spread":0.2641916569431996,"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."}}