{"id":"W4224109365","doi":"10.22215/etd/2021-14932","title":"Player Matching using Personal Characteristics for Asynchronous Multiplayer Exergames","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Social connectedness; Matching (statistics); Asynchronous communication; Personality; Computer science; Multimedia; Psychological intervention; Psychology; Game mechanics; Social psychology; Applied psychology; Human–computer interaction","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":[0.0008964561,0.0003919473,0.0003320641,0.00135033,0.0002450943,0.001027534,0.0003121842,0.0002318999,0.006547622],"category_scores_gemma":[0.006667912,0.0001274551,0.0004399593,0.00107209,0.0001279771,0.0006988405,0.0005051512,0.000324174,0.001109823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002425078,"about_ca_system_score_gemma":0.0002675359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126042,"about_ca_topic_score_gemma":0.002510582,"domain_scores_codex":[0.9996209,0.0001036256,0.00002919852,0.0001234314,0.00009215104,0.00003067616],"domain_scores_gemma":[0.9980433,0.001110098,0.0002775842,0.000187651,0.0002061476,0.0001752235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001270934,0.0018152,0.3456841,0.0002885266,0.0002139968,0.00008658197,0.0009048205,0.004747935,0.009887284,0.002704425,0.001893507,0.6305026],"study_design_scores_gemma":[0.0001137241,0.001503538,0.8610746,0.00009945152,0.0002649409,0.0003822643,0.001232368,0.1166788,0.006645775,0.004909493,0.007022294,0.0000727988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225029,0.000206543,0.06658246,0.0001496111,0.00004026866,0.0006849865,0.0006641047,0.0003860602,0.008783091],"genre_scores_gemma":[0.9457681,0.0001572218,0.04856202,0.00002915475,0.00001899486,0.0002382361,0.0007574275,0.0000400432,0.004428886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006547622,"threshold_uncertainty_score":0.02190399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044019195466227,"score_gpt":0.36446005969928,"score_spread":0.3240198677446178,"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."}}