{"id":"W2899336012","doi":"10.1145/3274460","title":"Shopping Over Distance through a Telepresence Robot","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Simon Fraser University","funders":"","keywords":"Robot; Human–computer interaction; Telerobotics; Computer science; Mobile robot; Multimedia; Artificial intelligence","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":[0.0003824742,0.0004023285,0.0001683642,0.0003419099,0.0007011019,0.0008659344,0.0005820337,0.000625943,0.006724728],"category_scores_gemma":[0.002021924,0.0001505245,0.0002278067,0.000192396,0.0005702198,0.001298543,0.001229183,0.0003041415,0.0007946873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837227,"about_ca_system_score_gemma":0.0001882415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007764912,"about_ca_topic_score_gemma":0.001123684,"domain_scores_codex":[0.9996482,0.0001763838,0.00001355082,0.00005365058,0.00006721709,0.00004092914],"domain_scores_gemma":[0.9989634,0.0005114903,0.0001786962,0.0001318765,0.00008807113,0.0001263896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003659721,0.0038025,0.09597435,0.001249974,0.0001670133,0.008713124,0.1066576,0.004983767,0.179411,0.01198989,0.006986719,0.5764044],"study_design_scores_gemma":[0.0007645263,0.0260315,0.3332705,0.0007519713,0.0007193867,0.02036814,0.1983896,0.06921695,0.1119097,0.00896499,0.2287694,0.0008432441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804659,0.0001375306,0.009077361,0.0001749494,0.00001567446,0.00006459633,0.00004170152,0.0001247175,0.009897595],"genre_scores_gemma":[0.987712,0.00008117206,0.008698423,0.0000450191,0.000006243524,0.00004211292,0.00002766517,0.00001016721,0.003377236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006724728,"threshold_uncertainty_score":0.0224964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137634862287063,"score_gpt":0.4267961485588093,"score_spread":0.313032662330103,"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."}}