{"id":"W4376063294","doi":"10.1609/aiide.v11i1.12792","title":"Playable Experiences at AIIDE 2015","year":2015,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Track (disk drive); Computer science; Visual arts; Art; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003642602,0.0007351398,0.0005925569,0.001300229,0.005042679,0.009293223,0.001625823,0.001842461,0.1045382],"category_scores_gemma":[0.004537954,0.00034353,0.0007391474,0.0008499933,0.001135577,0.003777672,0.01127087,0.00463891,0.02475469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164087,"about_ca_system_score_gemma":0.002851854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004419312,"about_ca_topic_score_gemma":0.02528176,"domain_scores_codex":[0.99683,0.0005398919,0.0000745248,0.0003188514,0.001337687,0.0008990199],"domain_scores_gemma":[0.9937367,0.0003738007,0.00008919851,0.0001896617,0.0007308521,0.004879767],"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":[0.001531246,0.001190233,0.002283596,0.0003790754,0.00003885143,0.0006991674,0.01548465,0.0004895048,0.004920573,0.03045011,0.7521951,0.190338],"study_design_scores_gemma":[0.00004553613,0.0002654371,0.002604994,0.000151586,0.000008493565,0.0001462777,0.004051675,0.0003882731,0.001407719,0.002727991,0.9881566,0.00004541245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1036207,0.0044595,0.02559474,0.01756596,0.02184828,0.001130168,0.007022894,0.003810839,0.8149468],"genre_scores_gemma":[0.2298891,0.002128504,0.02014366,0.003555662,0.00326105,0.001546313,0.01054318,0.001519379,0.7274132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1045382,"threshold_uncertainty_score":0.3497152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2143365632800855,"score_gpt":0.3871131448381837,"score_spread":0.1727765815580981,"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."}}