{"id":"W2245061230","doi":"10.11575/prism/31027","title":"Probing Social Aspects of Human-robot Group Interaction in a Collaborative Game","year":2008,"lang":"en","type":"article","venue":"Open MIND","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Testbed; Human–computer interaction; Robot; Human–robot interaction; Computer science; Group (periodic table); Collaborative software; Social relation; Knowledge management; Artificial intelligence; World Wide Web; Psychology; Social psychology","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":[0.001627236,0.0005186099,0.0003952727,0.0004217437,0.0008446963,0.001312504,0.0008251137,0.0007466652,0.002554535],"category_scores_gemma":[0.008743942,0.000269228,0.0002689253,0.0001683881,0.001865209,0.001197394,0.001612099,0.0007490973,0.0002192524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004048765,"about_ca_system_score_gemma":0.0003165172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005450127,"about_ca_topic_score_gemma":0.0008352415,"domain_scores_codex":[0.9979262,0.001380234,0.00007081337,0.0002767901,0.0002195359,0.0001264814],"domain_scores_gemma":[0.9901884,0.007449615,0.0007221123,0.0006586543,0.0002651888,0.0007159115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006274187,0.02220031,0.1185784,0.002068298,0.0005504015,0.003016835,0.1001877,0.02818597,0.5232232,0.04142262,0.004289337,0.1500029],"study_design_scores_gemma":[0.002609096,0.04439706,0.3066808,0.0003749239,0.0005484371,0.004600634,0.05793561,0.2744884,0.1973024,0.0720733,0.03825393,0.0007355232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649956,0.00005317159,0.03031795,0.0001103113,0.00001802112,0.0002977107,0.00005454955,0.0001202171,0.004032471],"genre_scores_gemma":[0.984023,0.00002740751,0.01499037,0.00004525915,0.00000555617,0.0002915866,0.00003889349,0.00001377752,0.000564109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002554535,"threshold_uncertainty_score":0.008605778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327106170199354,"score_gpt":0.4467453938108283,"score_spread":0.3140347767908929,"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."}}