{"id":"W6910266373","doi":"10.48448/kpf3-hf15","title":"Extended Reality for Enhanced Human-Robot Collaboration: A Human-In-The-Loop Approach","year":2024,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Ingenuity; Adaptability; Flexibility (engineering); Task (project management); Automation; Key (lock); Robot; Conceptual framework","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":[0.001406845,0.0006468297,0.0003916966,0.0004683711,0.0004619833,0.002350969,0.001730631,0.001486225,0.007461216],"category_scores_gemma":[0.00227971,0.0002636156,0.0005276609,0.0002734447,0.001977694,0.003077133,0.003301413,0.001208567,0.00149754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005827931,"about_ca_system_score_gemma":0.0007362762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007692617,"about_ca_topic_score_gemma":0.0009173266,"domain_scores_codex":[0.9988638,0.000564348,0.00003914502,0.0001827146,0.000275252,0.00007463712],"domain_scores_gemma":[0.9991286,0.0003492105,0.00009809142,0.0001963169,0.0001340268,0.00009365744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002389142,0.0002620054,0.000968647,0.0007167431,0.00009277516,0.0006145667,0.001447469,0.06170915,0.02587338,0.597464,0.005336544,0.3052758],"study_design_scores_gemma":[0.0001195052,0.001038618,0.00185136,0.0005135133,0.0001217223,0.001477993,0.0013209,0.488294,0.02196206,0.2897449,0.193381,0.0001744813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006250876,0.000923861,0.9664394,0.00106326,0.00009287191,0.00006982309,0.00002701477,0.0006754591,0.0244575],"genre_scores_gemma":[0.4407221,0.001852323,0.5373937,0.0003845243,0.0001364558,0.0002441909,0.0001044888,0.0001716682,0.0189906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007461216,"threshold_uncertainty_score":0.02496028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07845522199731395,"score_gpt":0.4053493355189643,"score_spread":0.3268941135216503,"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."}}