{"id":"W4394714638","doi":"10.1002/adma.202404053","title":"Metal–Drug Coordination Nanoparticles and Hydrogels for Enhanced Delivery","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Hunan Province; Hong Kong Government; National Natural Science Foundation of China","keywords":"Materials science; Self-healing hydrogels; Drug delivery; Nanoparticle; Nanotechnology; Metal; Drug; Chemical engineering; Metallurgy; Polymer chemistry; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091155,0.0002412041,0.0003505016,0.0001060053,0.0001604214,0.000326745,0.0001616735,0.00005652305,0.0003158239],"category_scores_gemma":[0.0001991555,0.0002185708,0.00005819056,0.0001678239,0.0001214311,0.001026248,0.00009117701,0.0000382624,0.0002934713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008832744,"about_ca_system_score_gemma":0.00007246836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002182446,"about_ca_topic_score_gemma":0.00001083043,"domain_scores_codex":[0.9980968,0.0001044099,0.0004745131,0.000593015,0.0002745233,0.0004566935],"domain_scores_gemma":[0.9989828,0.0003756,0.0001036862,0.0002666755,0.0001592535,0.000111975],"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":[0.0001605695,0.00003538176,0.000001198468,0.0002015243,0.00001613803,0.000008823045,0.0001744334,0.0001162306,0.9902158,0.002717895,0.0002841775,0.006067808],"study_design_scores_gemma":[0.0006079599,0.00009431104,0.00001113587,0.0001163529,0.00007193239,0.000009542407,0.0000717095,0.0001582149,0.989379,0.005206883,0.003996653,0.0002762974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933564,0.001726524,0.001570359,0.0004648258,0.001478483,0.000694902,0.0002223069,0.0004249174,0.00006126374],"genre_scores_gemma":[0.9924586,0.00009234605,0.006314326,0.0001680688,0.0001481223,0.00035463,0.00002160641,0.00005205319,0.0003902804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00579151,"threshold_uncertainty_score":0.8913058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009937827813137297,"score_gpt":0.2528421342199408,"score_spread":0.2429043064068035,"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."}}