{"id":"W7084749944","doi":"10.1109/tmrb.2025.3617956","title":"Design and Validation of a Compact Concentric-Tube Robot for Percutaneous Nephrolithotomy","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Robotics and Bionics","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Robot; Percutaneous nephrolithotomy; Footprint; Robotic arm; Robotics; Percutaneous; Software; Surgical robot","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":[0.001134255,0.0004872871,0.0004906883,0.0003944978,0.0001942406,0.0003796631,0.00119892,0.0008091554,0.001304809],"category_scores_gemma":[0.002024904,0.0002553673,0.0003409539,0.0001267036,0.000505293,0.0004180444,0.0006152323,0.0002287355,0.0003769513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002368648,"about_ca_system_score_gemma":0.0008600107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004899183,"about_ca_topic_score_gemma":0.0003720387,"domain_scores_codex":[0.9992205,0.0001450454,0.00007006451,0.000138352,0.0003707828,0.00005523536],"domain_scores_gemma":[0.9989234,0.0002036977,0.0002284893,0.000159157,0.0003600926,0.0001251556],"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":[0.00113684,0.0003946997,0.004502715,0.001415136,0.00008108571,0.0008624933,0.0003711355,0.05459664,0.8198084,0.001858556,0.001205469,0.1137667],"study_design_scores_gemma":[0.0006172074,0.01693171,0.02520316,0.000205412,0.0002839094,0.004152181,0.0002391287,0.4361734,0.4834403,0.0007839182,0.03168144,0.0002882334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.33962,0.0005713083,0.6539345,0.0002459438,0.000205784,0.0009860911,0.0002115811,0.001795883,0.002428921],"genre_scores_gemma":[0.7361244,0.0002201118,0.2602845,0.00009146382,0.00002800182,0.000546948,0.0001551435,0.00006425993,0.002485162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001304809,"threshold_uncertainty_score":0.005998611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144531743113556,"score_gpt":0.2871956173345154,"score_spread":0.2657502999033798,"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."}}