{"id":"W2610993676","doi":"10.1145/3025453.3025855","title":"Robotic Telepresence at Scale","year":2017,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Personalization; Robot; Computer science; Scale (ratio); Variety (cybernetics); Telerobotics; Human–computer interaction; Attendance; Scheduling (production processes); Multimedia; Mobile robot; World Wide Web; Engineering; Artificial intelligence; Geography; Operations management","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":[0.0004053848,0.000223269,0.0001519423,0.0002029043,0.0007338193,0.0008704702,0.0004985649,0.000342638,0.01350213],"category_scores_gemma":[0.002461667,0.0001407247,0.0001764175,0.0001150169,0.000895675,0.001415868,0.002082972,0.0004495843,0.0009790163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003697487,"about_ca_system_score_gemma":0.0002711595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002112652,"about_ca_topic_score_gemma":0.003118091,"domain_scores_codex":[0.9995638,0.0001525175,0.000009232922,0.00009747051,0.0001033946,0.00007364347],"domain_scores_gemma":[0.9988607,0.0004848401,0.0001379799,0.0002331401,0.0001016793,0.0001816684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001057953,0.001269535,0.08284432,0.00110346,0.0001127779,0.002014733,0.0554912,0.007822898,0.1685813,0.02636577,0.01709749,0.6362386],"study_design_scores_gemma":[0.0002248312,0.006778641,0.5946756,0.0005558506,0.000186332,0.004402171,0.09244893,0.02991156,0.03156489,0.02159699,0.2173306,0.0003236208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8923831,0.0002843494,0.02503682,0.0005726098,0.00004790532,0.0001354884,0.0001063152,0.0006228913,0.08081057],"genre_scores_gemma":[0.9913507,0.00007289585,0.004317454,0.00006374426,0.0000105002,0.00004078062,0.00002352882,0.00002919625,0.004091182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01350213,"threshold_uncertainty_score":0.04516912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07326100262620285,"score_gpt":0.425612302373853,"score_spread":0.3523512997476502,"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."}}