{"id":"W3093403274","doi":"","title":"Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.","year":2019,"lang":"en","type":"article","venue":"Artificial Intelligence and Interactive Digital Entertainment Conference","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Entertainment; Computer science; Multimedia; Human–computer interaction; 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":[0.001479372,0.0007605662,0.0004099579,0.0009502578,0.002585949,0.005420978,0.001234798,0.001381368,0.08400619],"category_scores_gemma":[0.00229156,0.0002162358,0.000405106,0.0007597777,0.00104317,0.003635821,0.003292826,0.002480221,0.01079181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045281,"about_ca_system_score_gemma":0.0008323757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00515885,"about_ca_topic_score_gemma":0.03324979,"domain_scores_codex":[0.9993209,0.0002369882,0.00002136587,0.00008105319,0.0001987898,0.0001409569],"domain_scores_gemma":[0.9988378,0.0002331994,0.00002480113,0.00006163069,0.0001862447,0.0006564285],"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":[0.0008512791,0.0005926708,0.001546241,0.0003551193,0.00003925927,0.0007770124,0.01361965,0.0002084886,0.002458243,0.01432326,0.8540998,0.1111289],"study_design_scores_gemma":[0.00003225069,0.0001371293,0.003323854,0.0001820442,0.00002042277,0.0001902654,0.00454904,0.0002864168,0.001011554,0.002415615,0.9878224,0.0000290985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07309493,0.01991078,0.0168172,0.03313284,0.03455999,0.0004146024,0.00535308,0.001625127,0.8150914],"genre_scores_gemma":[0.2187444,0.007509873,0.00622439,0.002447786,0.00311271,0.0002615945,0.003098042,0.0006813777,0.7579198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08400619,"threshold_uncertainty_score":0.2810287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05121333956636699,"score_gpt":0.3156730811128601,"score_spread":0.2644597415464932,"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."}}