{"id":"W4411907405","doi":"10.1002/adhm.202403423","title":"Kidney Stone Dissolution By Tetherless, Enzyme‐Loaded, Soft Magnetic Miniature Robots","year":2025,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; St. Michael's Hospital; National Institute for Nanotechnology; University of Toronto; University of Waterloo","funders":"Agencia Estatal de Investigación; Generalitat de Catalunya; Natural Sciences and Engineering Research Council of Canada; Centres de Recerca de Catalunya; “la Caixa” Foundation","keywords":"Urinary system; Medicine; Kidney stones; Kidney; Kidney disease; Population; Targeted drug delivery; Uric acid; Urease; Urology; Surgery; Drug; Internal medicine; Pharmacology; Urea; Chemistry","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":[0.0001399752,0.0002356954,0.0002248293,0.00018082,0.0001320934,0.0002615896,0.0003558595,0.0003764444,0.0006565668],"category_scores_gemma":[0.0003150819,0.0001707822,0.0002993097,0.00008842367,0.0002595464,0.0003387055,0.0002815215,0.0001764834,0.0002230511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135898,"about_ca_system_score_gemma":0.0001370341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003217205,"about_ca_topic_score_gemma":0.0003534142,"domain_scores_codex":[0.9998742,0.00002040396,0.000007287913,0.00002431052,0.00005953009,0.00001424811],"domain_scores_gemma":[0.999876,0.0000317281,0.00004910279,0.00001835931,0.00001403666,0.000010679],"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":[0.0001587088,0.00005121197,0.0004445451,0.0002535385,0.00002242258,0.0002801469,0.00009620136,0.005223346,0.9665567,0.001003167,0.0005004547,0.02540963],"study_design_scores_gemma":[0.00007913646,0.001020261,0.002808054,0.00002088692,0.00005566661,0.0007406121,0.00006434878,0.06476478,0.9170734,0.000408922,0.01291371,0.00005021123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8383864,0.003723887,0.1502885,0.0003638192,0.000181915,0.0000923863,0.00008100886,0.001012834,0.005869192],"genre_scores_gemma":[0.9526953,0.0008143174,0.04166516,0.0001019736,0.00002547139,0.00005408461,0.00004255242,0.00003396395,0.004567247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006565668,"threshold_uncertainty_score":0.002196491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006116004540701847,"score_gpt":0.2719935768503113,"score_spread":0.2658775723096095,"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."}}