{"id":"W3179912798","doi":"10.1145/3451343","title":"Robo Ludens","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Human-Robot Interaction","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Human–computer interaction; Computer science; Entertainment; Robot; Embodied cognition; Variety (cybernetics); Perspective (graphical); Game mechanics; 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":[0.0008635325,0.001066116,0.000388235,0.002412366,0.001270423,0.002953204,0.001006427,0.001247222,0.05915445],"category_scores_gemma":[0.0030285,0.0002786376,0.0005186635,0.0008552003,0.001093664,0.002585718,0.002116039,0.001037296,0.01909384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327005,"about_ca_system_score_gemma":0.001083666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003047977,"about_ca_topic_score_gemma":0.005883696,"domain_scores_codex":[0.9990657,0.0002496641,0.00005391322,0.0001809647,0.0003559264,0.00009378256],"domain_scores_gemma":[0.9989913,0.0003438219,0.0001099599,0.00008672931,0.0002416771,0.000226523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002887124,0.0001346357,0.001587509,0.001734703,0.00003702538,0.0005235269,0.002983401,0.00149909,0.00463947,0.2020573,0.2745574,0.5099573],"study_design_scores_gemma":[0.00001073135,0.00005223912,0.0006563354,0.0002728247,0.000008366081,0.0003414276,0.000421485,0.0005197024,0.0008379064,0.00778178,0.9890788,0.00001833021],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02062541,0.02111877,0.08004237,0.01048428,0.004045598,0.0006014168,0.002057152,0.005367808,0.8556573],"genre_scores_gemma":[0.1573364,0.01585896,0.07588413,0.00471595,0.000786488,0.00109643,0.003414772,0.001704873,0.739202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05915445,"threshold_uncertainty_score":0.1978914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1800345764994589,"score_gpt":0.4647037657234601,"score_spread":0.2846691892240012,"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."}}