{"id":"W4318814588","doi":"10.1007/978-3-031-24670-8_37","title":"Play Dynamics in a Collaborative Game with a Robot as a Play-Mediator","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Joystick; Computer science; Human–computer interaction; Focus (optics); Task (project management); Robot; Dynamics (music); Action (physics); Mobile robot; Multimedia; Artificial intelligence; Simulation; Psychology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003438886,0.000408309,0.0005193304,0.0008034747,0.0001539356,0.0001392797,0.0008113965,0.00031334,0.002648024],"category_scores_gemma":[0.00008364084,0.000376157,0.00007194348,0.000899261,0.0005713836,0.0001699235,0.0002716098,0.001468762,0.0001590055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303436,"about_ca_system_score_gemma":0.0008286128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003280812,"about_ca_topic_score_gemma":0.005610649,"domain_scores_codex":[0.9973098,0.00008250171,0.0003825512,0.001044864,0.0006704755,0.0005098053],"domain_scores_gemma":[0.9982363,0.0006891379,0.0002883888,0.0005043932,0.0001508652,0.0001309053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00194088,0.000820649,0.005402329,0.00007358144,0.0003593469,0.005142828,0.1550236,0.1192739,0.00006939115,0.4413256,0.001531678,0.2690362],"study_design_scores_gemma":[0.02426143,0.01818191,0.01689839,0.004295039,0.0003568181,0.003571599,0.001627692,0.3097567,0.0005067455,0.2936461,0.3108578,0.01603978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005445447,0.0008498874,0.7708234,0.005008546,0.01401933,0.002572439,0.0001826768,0.0003000556,0.2007982],"genre_scores_gemma":[0.9386166,0.00008618988,0.03285558,0.01255192,0.001755579,0.0004057696,0.0001466404,0.0002548763,0.01332683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9331712,"threshold_uncertainty_score":0.999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458812060722353,"score_gpt":0.3072914320292794,"score_spread":0.2927033114220559,"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."}}