{"id":"W4410190862","doi":"10.1002/rcs.70073","title":"A Master‐Follower Teleoperation System for Robotic Catheterisation: Design, Characterisation and Tracking Control","year":2025,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleoperation; Computer science; Tracking (education); Control (management); Simulation; Human–computer interaction; Artificial intelligence; Psychology","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":[0.0005819654,0.000351129,0.0003144074,0.0002810318,0.0002696637,0.0004454593,0.0008381882,0.0006583265,0.002846907],"category_scores_gemma":[0.0006950291,0.0001737635,0.0002428723,0.0001240987,0.0003637882,0.00041578,0.0003253859,0.000335702,0.0004529333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652655,"about_ca_system_score_gemma":0.0006220677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008111634,"about_ca_topic_score_gemma":0.000668804,"domain_scores_codex":[0.9996113,0.00003573481,0.00002371691,0.00009485969,0.0002061704,0.0000282105],"domain_scores_gemma":[0.999359,0.00015154,0.0001411084,0.0001005035,0.0002095016,0.00003841087],"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":[0.0003907656,0.0002636223,0.003896728,0.000425187,0.0000386229,0.0003743369,0.0008090482,0.0266212,0.6961492,0.001781616,0.001713311,0.2675364],"study_design_scores_gemma":[0.0001750537,0.006146088,0.02299822,0.0001115347,0.0001085554,0.002863773,0.0002011561,0.4572287,0.4735142,0.001163165,0.03531757,0.0001720108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1432013,0.0003860709,0.8516052,0.0002062494,0.00005623946,0.000379432,0.00008887458,0.001516563,0.002560226],"genre_scores_gemma":[0.8054674,0.0002111896,0.1872868,0.00008736713,0.00002204277,0.0003828692,0.0001121968,0.00006903127,0.006361054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002846907,"threshold_uncertainty_score":0.009523809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270038652176257,"score_gpt":0.2557042491805229,"score_spread":0.2287003839628972,"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."}}