{"id":"W3030532260","doi":"10.1145/3313831.3376319","title":"Personal Space in Play: Physical and Digital Boundaries in Large-Display Cooperative and Competitive Games","year":2020,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Space (punctuation); Human–computer interaction; Computer graphics (images); Physical space; Multimedia; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00003770405,0.0001318109,0.0001934439,0.00004961012,0.00007889987,0.0004883568,0.0001120691,0.00002562285,0.00001171582],"category_scores_gemma":[0.00006566485,0.0001112371,0.00002196364,0.0001823617,0.0001930093,0.001166144,0.0002304006,0.0001805198,0.00001816392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000222678,"about_ca_system_score_gemma":0.00006173311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003296169,"about_ca_topic_score_gemma":0.00009622966,"domain_scores_codex":[0.9992003,0.00003748051,0.00009150955,0.0003502044,0.0001096512,0.0002108682],"domain_scores_gemma":[0.9996634,0.0001382041,0.00002344944,0.00005068709,0.00004569216,0.00007860395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001421462,0.0002228496,0.06009963,0.00002146092,0.00003474696,0.0001504699,0.1376514,0.000004185461,0.004342872,0.7963279,0.0005679775,0.0004344303],"study_design_scores_gemma":[0.005876707,0.001714548,0.5850871,0.0002045379,0.00001194132,0.00007279179,0.07424576,0.2947803,0.01960832,0.001849096,0.01525492,0.00129405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758748,0.00007693089,0.01278213,0.004250594,0.00003918109,0.0001326391,0.00003598765,0.00001023855,0.006797476],"genre_scores_gemma":[0.9984881,0.00000571661,0.0001903904,0.001174089,0.00002708444,0.000005108121,0.000005586227,0.000004314773,0.00009959356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7944788,"threshold_uncertainty_score":0.4709236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008795309219477503,"score_gpt":0.2427293597601446,"score_spread":0.2339340505406671,"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."}}