{"id":"W4408938695","doi":"10.1145/3712677.3720464","title":"Emerging Telepresence Technologies for Hybrid Meetings: Experiences and Lessons Learned from an Interactive Workshop","year":2025,"lang":"en","type":"article","venue":"","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Multimedia; Human–computer interaction; Telerobotics; Robot; Artificial intelligence; Mobile robot","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":[0.01305868,0.001314825,0.0006807736,0.0008934244,0.007777445,0.005587021,0.004240351,0.003027177,0.005152187],"category_scores_gemma":[0.01457036,0.000540373,0.0009107617,0.0006422826,0.00483189,0.005214582,0.009935692,0.003687308,0.001193757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179353,"about_ca_system_score_gemma":0.001016765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005865238,"about_ca_topic_score_gemma":0.001403697,"domain_scores_codex":[0.9893306,0.007677346,0.0002605612,0.0008012289,0.0007472018,0.001182941],"domain_scores_gemma":[0.9876764,0.007045993,0.0003596658,0.0008820693,0.0009045737,0.003131272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007013465,0.003147316,0.00623748,0.001240795,0.0001017235,0.008049471,0.8728937,0.001753206,0.008969623,0.007716291,0.007039941,0.08214905],"study_design_scores_gemma":[0.0001809212,0.002932398,0.006572552,0.00053692,0.00009767005,0.003776957,0.8270769,0.003848675,0.01048884,0.004665209,0.1395249,0.0002981745],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441721,0.0006308551,0.02513451,0.00273326,0.0004234618,0.0004639676,0.0001014718,0.0002469451,0.02609338],"genre_scores_gemma":[0.9773971,0.0005025073,0.01130881,0.000397937,0.0001954878,0.000346379,0.0001158368,0.0001636974,0.009572227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01305868,"threshold_uncertainty_score":0.0690617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05601836243031096,"score_gpt":0.3913262843340456,"score_spread":0.3353079219037347,"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."}}