{"id":"W2013892175","doi":"10.1145/2018556.2018559","title":"Visualizing and understanding players' behavior in video games","year":2011,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Visualization; Game design; Game Developer; Data visualization; Human–computer interaction; Game mechanics; Task (project management); Video game; Game art design; Video game development; Video game design; Data science; Multimedia; Artificial intelligence","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":[0.0009198446,0.0008502064,0.0002936387,0.002951869,0.0005340999,0.002386391,0.0006002886,0.0005019744,0.004134494],"category_scores_gemma":[0.003130209,0.0002918533,0.0004496548,0.001025976,0.0004823042,0.001543145,0.001254617,0.0008186275,0.000458017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004875958,"about_ca_system_score_gemma":0.000589819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00862419,"about_ca_topic_score_gemma":0.01530541,"domain_scores_codex":[0.9995858,0.0001939156,0.00002602177,0.00005527095,0.0000921319,0.00004698503],"domain_scores_gemma":[0.9988971,0.0006158074,0.0001101059,0.00007827536,0.0001746284,0.0001239755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001681972,0.0006432001,0.1027747,0.001396568,0.000390529,0.002053034,0.04107352,0.04974472,0.1042202,0.03786203,0.04259554,0.615564],"study_design_scores_gemma":[0.0002226208,0.0006778837,0.2381149,0.0009358802,0.0003886093,0.001933793,0.02897003,0.4805894,0.05671533,0.05241948,0.1385505,0.0004815374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.572509,0.0009890449,0.3840362,0.002070901,0.0001463674,0.0004469155,0.003826979,0.009777692,0.02619686],"genre_scores_gemma":[0.6891016,0.0007912685,0.3040231,0.0001569156,0.00004155867,0.0001839492,0.001342748,0.0005754472,0.003783408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00862419,"threshold_uncertainty_score":0.01714802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281899868831534,"score_gpt":0.3259557865690352,"score_spread":0.1977657996858818,"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."}}