{"id":"W4400650079","doi":"10.1109/imbioc60287.2024.10590230","title":"Monitoring Targeted Drug Delivery Using Microwave Sensitive Hydrogels","year":2024,"lang":"en","type":"article","venue":"","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Lethbridge","funders":"Alberta Innovates","keywords":"Self-healing hydrogels; Drug delivery; Drug; Microwave; Computer science; Biomedical engineering; Nanotechnology; Materials science; Pharmacology; Medicine; Telecommunications","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":[0.0002225318,0.0002491213,0.0001510535,0.0002345364,0.00008476181,0.000217059,0.0001854213,0.0002543838,0.0003909494],"category_scores_gemma":[0.0002614233,0.00009766295,0.0001292174,0.0001277085,0.0001491557,0.0003635568,0.000159502,0.0002401842,0.0000936194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953744,"about_ca_system_score_gemma":0.00008715175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002088829,"about_ca_topic_score_gemma":0.000286333,"domain_scores_codex":[0.9998704,0.00002104659,0.00000820936,0.00003426359,0.00005185701,0.00001412573],"domain_scores_gemma":[0.9998804,0.00004586175,0.00004628307,0.000006001496,0.0000119168,0.000009534788],"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":[0.00002425279,0.000007614599,0.00009937226,0.00002434172,0.000002404505,0.00001230384,0.000008496732,0.0001139923,0.9977815,0.0000515987,0.00001130887,0.001862922],"study_design_scores_gemma":[0.000003564023,0.0001102688,0.0005426769,0.000003375321,0.0000065107,0.00005905813,0.000007609653,0.001206993,0.9974644,0.00002529307,0.0005650917,0.000005125785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500973,0.004186729,0.04299445,0.0001416964,0.00005383737,0.00008417322,0.0001820362,0.000164019,0.002095827],"genre_scores_gemma":[0.9755412,0.002815326,0.01974601,0.0001085144,0.00002288869,0.00004908492,0.00007825875,0.00001640607,0.001622328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003909494,"threshold_uncertainty_score":0.001417518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822411804781873,"score_gpt":0.2493245922278234,"score_spread":0.2311004741800047,"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."}}