{"id":"W2220663073","doi":"10.1609/aiide.v10i1.12718","title":"Playable Experiences at AIIDE 2014","year":2014,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Track (disk drive); Event (particle physics); Computer science; Multimedia; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003280799,0.0003540495,0.0003537752,0.0001490588,0.000296886,0.0007756263,0.001686042,0.00008382485,0.0001487051],"category_scores_gemma":[0.0004746381,0.0002538368,0.0001694937,0.0002646619,0.0005350765,0.001655803,0.001080218,0.0002549311,0.0002515318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297501,"about_ca_system_score_gemma":0.00003364884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003540915,"about_ca_topic_score_gemma":0.0000100106,"domain_scores_codex":[0.9974405,0.00002550679,0.000701775,0.000750109,0.0006076096,0.0004745545],"domain_scores_gemma":[0.9983391,0.0002656404,0.0004695117,0.0003666957,0.000394333,0.0001647699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002422113,0.0004229395,0.001261317,0.00003572984,0.00005540902,0.000001004922,0.01734858,0.0000544727,0.01524875,0.785728,0.0009938225,0.1786078],"study_design_scores_gemma":[0.00003730964,0.0008069918,0.0001189656,0.0002934008,0.00001026089,0.0000150552,0.01115198,0.03597995,0.8473109,0.1018567,0.001996539,0.000421981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772088,0.00003216916,0.05462878,0.003225757,0.0009285197,0.0006094939,0.000009030874,0.0001187379,0.06323868],"genre_scores_gemma":[0.997987,0.00003561713,0.0004493501,0.0004573057,0.00006632495,0.00008515956,0.000001000088,0.00001501627,0.0009032757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8320621,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03353136774501229,"score_gpt":0.2745312239967024,"score_spread":0.2409998562516901,"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."}}