{"id":"W3134765354","doi":"10.1145/3434074.3444883","title":"Robo Ludens","year":2021,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Human–computer interaction; Game design; Multidisciplinary approach; Robot; Process (computing); Field (mathematics); Game mechanics; Multimedia; Artificial intelligence; Sociology","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":[0.0004627972,0.001043013,0.0004736649,0.00101635,0.001161015,0.001711093,0.0006903816,0.0008095865,0.1319645],"category_scores_gemma":[0.001369743,0.0002079662,0.0003902268,0.0003372493,0.000748285,0.001337099,0.001684147,0.001075143,0.04355515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006765401,"about_ca_system_score_gemma":0.0005431998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003417867,"about_ca_topic_score_gemma":0.007716245,"domain_scores_codex":[0.9996588,0.00006575043,0.00001331797,0.0000903516,0.0001263294,0.00004537111],"domain_scores_gemma":[0.9996361,0.0001051783,0.00001941504,0.00003016939,0.00007428082,0.000134922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004602484,0.0001295638,0.0009581569,0.0006061557,0.00003402895,0.0005354953,0.0008480802,0.001534724,0.00518832,0.05166204,0.6148499,0.3231932],"study_design_scores_gemma":[0.00002013916,0.00006003722,0.0006437164,0.0001256118,0.000007036539,0.0002192609,0.0002187167,0.00108609,0.001039925,0.004834139,0.9917232,0.00002209128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02033883,0.01293184,0.05548644,0.01373526,0.009983234,0.0003135586,0.003054996,0.00988532,0.8742705],"genre_scores_gemma":[0.09505691,0.005549937,0.02641128,0.002444914,0.0007652491,0.0002672892,0.002486655,0.001939594,0.8650781],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1319645,"threshold_uncertainty_score":0.4414651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05651517779373222,"score_gpt":0.4266367065879758,"score_spread":0.3701215287942435,"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."}}