{"id":"W3156819776","doi":"10.5753/ihc.2020.14046","title":"Data-driven gameplay experience balancing","year":2020,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Process (computing); Human–computer interaction; Video game development; Game design; Game Developer; Game mechanics; Work (physics); Multimedia; Data science; Engineering","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":[0.003006948,0.0008405553,0.0004971394,0.00179822,0.0005303894,0.004166955,0.001032265,0.000589256,0.006042333],"category_scores_gemma":[0.02090737,0.0003195934,0.0003609472,0.0007941967,0.0006337343,0.002085689,0.002337898,0.0008423172,0.001377993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007835467,"about_ca_system_score_gemma":0.0004782428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110546,"about_ca_topic_score_gemma":0.001925472,"domain_scores_codex":[0.9962923,0.001011556,0.0002262961,0.000706554,0.001558726,0.0002045788],"domain_scores_gemma":[0.9917469,0.004043537,0.0004595856,0.0006814213,0.002470832,0.0005977291],"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":[0.004887749,0.002388966,0.1016601,0.0029631,0.0004498007,0.0009800034,0.03481963,0.02436448,0.1670631,0.03032687,0.02389266,0.6062035],"study_design_scores_gemma":[0.0006533522,0.005022501,0.2603357,0.001199596,0.0005699713,0.001485163,0.02431999,0.3708627,0.1372257,0.05572377,0.1416812,0.0009203222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7645354,0.0004712212,0.1850191,0.0007670531,0.0002926959,0.002193612,0.003061925,0.002383978,0.04127486],"genre_scores_gemma":[0.9337119,0.0001270617,0.05655077,0.0001399114,0.00002826216,0.001029703,0.001563405,0.0004165395,0.006432282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006042333,"threshold_uncertainty_score":0.0202136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0819859177550137,"score_gpt":0.3398350921871929,"score_spread":0.2578491744321792,"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."}}