{"id":"W4417245897","doi":"10.48550/arxiv.2504.06677","title":"Setup-Invariant Augmented Reality for Teaching by Demonstration with Surgical Robots","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Intuitive Surgical; Johns Hopkins University; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Augmented reality; Robot; Human–robot interaction; Robotics; Work (physics); Expert system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006079362,0.0006956583,0.000309384,0.0003380535,0.000138816,0.0005556515,0.00113146,0.0005146156,0.01339385],"category_scores_gemma":[0.003310336,0.000448128,0.0004635756,0.0002123185,0.0003234766,0.0004495311,0.001631771,0.0006722019,0.002390797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379863,"about_ca_system_score_gemma":0.0003692535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003286228,"about_ca_topic_score_gemma":0.0008011402,"domain_scores_codex":[0.9993291,0.0002471976,0.00004173565,0.00008865595,0.0002427361,0.00005054451],"domain_scores_gemma":[0.9986781,0.0006967711,0.0001191121,0.0002776654,0.000128901,0.00009927819],"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":[0.000782687,0.000552228,0.001751716,0.001014677,0.0001230037,0.0006778445,0.0009407655,0.03810953,0.2732796,0.004929174,0.01114092,0.6666979],"study_design_scores_gemma":[0.0006304895,0.00415463,0.02412447,0.0004164951,0.0001861778,0.006386849,0.0005345083,0.4824837,0.3123302,0.01241417,0.1559597,0.0003787565],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03794268,0.000458004,0.9506927,0.0001471072,0.0001036706,0.0001482019,0.0003307797,0.006456265,0.003720579],"genre_scores_gemma":[0.4503643,0.0006675503,0.5431209,0.0001052593,0.00006315687,0.0005471626,0.0008116215,0.0009574175,0.003362617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01339385,"threshold_uncertainty_score":0.0448069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07001994260989967,"score_gpt":0.3520900420063547,"score_spread":0.2820700993964551,"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."}}