{"id":"W2984324566","doi":"10.1007/s10846-019-01082-2","title":"Towards Skill Transfer via Learning-Based Guidance in Human-Robot Interaction: An Application to Orthopaedic Surgical Drilling Skill","year":2019,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Haptic technology; Computer science; Drill; Orientation (vector space); Simulation; Human–computer interaction; Kinesthetic learning; Robot; Artificial intelligence; Path (computing); Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005311187,0.0003554942,0.0002982609,0.0002839583,0.0003281219,0.0004920883,0.0004059619,0.0006879813,0.002200333],"category_scores_gemma":[0.002775053,0.0001277759,0.000285375,0.0002851333,0.0004307482,0.0004354284,0.0009686282,0.0005114895,0.0003588895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254819,"about_ca_system_score_gemma":0.0005818224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003656336,"about_ca_topic_score_gemma":0.002054922,"domain_scores_codex":[0.9997682,0.0000769656,0.000009302165,0.0000363135,0.00008040758,0.00002875956],"domain_scores_gemma":[0.9992899,0.0004186015,0.00004025768,0.00007257359,0.0001364097,0.00004230193],"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":[0.000632925,0.001009084,0.004124444,0.0003608975,0.00007043246,0.0005343148,0.001137902,0.2209454,0.1541929,0.005833154,0.001497054,0.6096615],"study_design_scores_gemma":[0.00006073002,0.0009774038,0.006739246,0.00002615565,0.00003667268,0.0003963638,0.0002299412,0.944854,0.03974228,0.004803512,0.002098049,0.00003568683],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4029095,0.0002855021,0.5816882,0.0002854074,0.00007698269,0.0003747215,0.00005452501,0.001404333,0.01292095],"genre_scores_gemma":[0.9366385,0.0001028105,0.06075935,0.00004209794,0.00001103241,0.00007190488,0.00002798746,0.00003743497,0.002308948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003656336,"threshold_uncertainty_score":0.007360876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418592032163437,"score_gpt":0.2713232986468307,"score_spread":0.2571373783251963,"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."}}