{"id":"W2982522549","doi":"10.1609/aiide.v15i1.5254","title":"Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19)","year":2019,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Digital Games and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Entertainment; Computer science; Track (disk drive); Multimedia; Artificial intelligence; Visual arts; Art","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":[0.005447236,0.001258642,0.001035489,0.001767058,0.003513064,0.01055807,0.001857131,0.001918888,0.1244597],"category_scores_gemma":[0.003849219,0.0004406017,0.0008550851,0.001060809,0.001357966,0.005044746,0.008791686,0.005295695,0.03225522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002263721,"about_ca_system_score_gemma":0.002654092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006335787,"about_ca_topic_score_gemma":0.02741068,"domain_scores_codex":[0.9969002,0.0005590793,0.0001112129,0.0004001619,0.00147209,0.0005572657],"domain_scores_gemma":[0.9945173,0.0004182546,0.0000891811,0.000238055,0.001067455,0.00366981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005617396,0.0005402939,0.0008555767,0.0001827656,0.00002730419,0.0002166255,0.001654449,0.0001716997,0.001897619,0.007750484,0.8892965,0.09684492],"study_design_scores_gemma":[0.00004811702,0.0001888938,0.002243565,0.0001660011,0.00001758498,0.00009314021,0.0009335132,0.0005305155,0.001202313,0.001917763,0.9926173,0.00004130739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04987007,0.02120222,0.04685907,0.04227133,0.1000947,0.00187715,0.01178604,0.005238633,0.7208008],"genre_scores_gemma":[0.07315695,0.008694828,0.01594869,0.003237967,0.008389294,0.001012908,0.01131648,0.001918482,0.8763245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1244597,"threshold_uncertainty_score":0.4163591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05202362447986647,"score_gpt":0.3129053973702587,"score_spread":0.2608817728903923,"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."}}