{"id":"W2025453614","doi":"10.1109/tmag.2012.2224649","title":"A Magnetoresponsive Drug Delivery System via $\\beta$-Cyclodextrin Functionalized Magnetic Polymer Brushes","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lower critical solution temperature; Atom-transfer radical-polymerization; Cyclodextrin; Ethylene glycol; Methacrylate; Materials science; Polymer; Beta-Cyclodextrins; Monomer; Polymer chemistry; Magnetic nanoparticles; Chemical engineering; Copolymer; Drug delivery; Thermoresponsive polymers in chromatography; Methyl methacrylate; Nanoparticle; Nanotechnology; Chemistry; Organic chemistry; Composite material","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001693831,0.0003850342,0.0002955836,0.0002936812,0.0002241829,0.00007683931,0.0002332028,0.0001427369,0.002871329],"category_scores_gemma":[0.000002488142,0.0004169287,0.0001647007,0.0005128557,0.0001131409,0.0002427743,0.000003431327,0.0002799391,0.001154758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453485,"about_ca_system_score_gemma":0.00003369847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002947072,"about_ca_topic_score_gemma":0.00001709162,"domain_scores_codex":[0.9980656,0.00009355019,0.0005226356,0.0002890286,0.0003874264,0.0006417816],"domain_scores_gemma":[0.9987453,0.0001920145,0.0000595651,0.0005307483,0.0001038526,0.000368581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004732577,0.001176893,0.0002512072,0.0004029539,0.0001854654,0.00001373018,0.001271882,0.01775848,0.4334742,0.001496581,0.004874373,0.538621],"study_design_scores_gemma":[0.00493291,0.0006889135,0.01263622,0.0001873217,0.0009192221,0.0002834129,0.001144187,0.0787074,0.7872414,0.00008173488,0.1104474,0.002729822],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7157601,0.00568651,0.2675445,0.000431916,0.0028082,0.0009992324,0.0002211355,0.001823107,0.004725351],"genre_scores_gemma":[0.9937868,0.0002792061,0.001383732,0.0001624026,0.0002119559,0.000260165,0.0000168449,0.00009496663,0.00380399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5358912,"threshold_uncertainty_score":0.9998283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007941945610907164,"score_gpt":0.1905168210362605,"score_spread":0.1825748754253533,"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."}}