{"id":"W2097709032","doi":"10.1145/1822348.1822349","title":"Gameplay analysis through state projection","year":2010,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Division of Information and Intelligent Systems; Defense Advanced Research Projects Agency; University of Washington; National Science Foundation","keywords":"Computer science; Confusion; Game design; Human–computer interaction; Multidimensional scaling; Task (project management); Visualization; Representation (politics); Data visualization; Projection (relational algebra); Data science; Artificial intelligence; Machine learning","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":[0.0009725393,0.001103527,0.0006011652,0.004618455,0.0006740662,0.002816924,0.0006577875,0.000377546,0.006695122],"category_scores_gemma":[0.005458547,0.0004296438,0.0006459333,0.002602913,0.0007096718,0.002118706,0.002026856,0.00106716,0.001283464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000553039,"about_ca_system_score_gemma":0.00114527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004857286,"about_ca_topic_score_gemma":0.004408604,"domain_scores_codex":[0.9990467,0.0001764159,0.00007755217,0.0002841224,0.0003291323,0.00008605078],"domain_scores_gemma":[0.9974397,0.001084415,0.0002954617,0.0003733365,0.000681033,0.0001259351],"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":[0.0008034548,0.0004452944,0.02439104,0.0006999642,0.0001536651,0.0003131398,0.007750724,0.02547118,0.05026367,0.03229148,0.01148507,0.8459313],"study_design_scores_gemma":[0.00007543746,0.0003341178,0.03783787,0.0001888515,0.00009987675,0.0004345508,0.004118129,0.8002083,0.06762987,0.05848064,0.03037781,0.0002145646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08355842,0.0001398423,0.8937021,0.000150891,0.00004303933,0.0004724847,0.00244251,0.01359228,0.005898399],"genre_scores_gemma":[0.4958508,0.0002732099,0.4946167,0.00003563647,0.00002669977,0.001156062,0.003657911,0.001103806,0.003279204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006695122,"threshold_uncertainty_score":0.0223974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813252298030538,"score_gpt":0.3176230378100748,"score_spread":0.2994905148297695,"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."}}