{"id":"W2184384562","doi":"10.14236/ewic/eva2008.30","title":"VISUALIZATION TECHNIQUES IN VIDEO GAMES","year":2008,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Visualization; Computer science; Human–computer interaction; Data visualization; Multimedia; Information visualization; Visual analytics; Cursor (databases); Video game; 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":[0.001244594,0.001253408,0.0007099785,0.002038591,0.0008723871,0.004238837,0.001566664,0.0009983059,0.013932],"category_scores_gemma":[0.005174732,0.0005740804,0.0009054698,0.001734653,0.001211306,0.002855459,0.002413913,0.001377915,0.002214642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006997786,"about_ca_system_score_gemma":0.0004082894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844055,"about_ca_topic_score_gemma":0.001743453,"domain_scores_codex":[0.9987757,0.0006302999,0.00006018928,0.0001506273,0.0002869907,0.00009623357],"domain_scores_gemma":[0.9986696,0.0007692002,0.00008103979,0.0001722938,0.0002209201,0.00008688845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003923022,0.000206686,0.00123269,0.001501732,0.0001319687,0.0007203355,0.004626758,0.01618244,0.02120601,0.2669996,0.06020118,0.6265984],"study_design_scores_gemma":[0.000223773,0.0003773188,0.003027193,0.001330515,0.0001345525,0.002691789,0.002841639,0.120015,0.01931401,0.3243214,0.5255101,0.0002127823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.010946,0.005639392,0.9372199,0.001275062,0.0004841075,0.0003235408,0.00025984,0.003306354,0.04054582],"genre_scores_gemma":[0.1738311,0.007281412,0.7938718,0.0005512343,0.000394393,0.0008584008,0.0005664394,0.001070827,0.02157447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.013932,"threshold_uncertainty_score":0.04660714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668151168592911,"score_gpt":0.3025449956075264,"score_spread":0.2858634839215973,"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."}}