{"id":"W1499540602","doi":"10.1609/aimag.v33i1.2399","title":"Recap of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE)","year":2012,"lang":"en","type":"article","venue":"AI Magazine","topic":"Digital Games and Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Entertainment; Track (disk drive); Computer science; Engineering; Multimedia; Library science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001836667,0.00007839467,0.0001027751,0.00002294391,0.00004452579,0.00007793192,0.0001502131,0.00003251843,0.0001243589],"category_scores_gemma":[0.0002305507,0.00005411712,0.00004448609,0.0000998598,0.0002892134,0.0003859367,0.00008720976,0.00009498304,0.00007621073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003714809,"about_ca_system_score_gemma":0.00004194093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002657954,"about_ca_topic_score_gemma":0.0001144746,"domain_scores_codex":[0.9992276,0.00004193823,0.0001543525,0.0001120337,0.000244897,0.0002191273],"domain_scores_gemma":[0.9995398,0.0001022666,0.00007947472,0.0001186031,0.00005331908,0.0001065274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007496035,0.0003714495,0.004863246,0.00001112672,0.00002535945,0.000001199571,0.02597366,0.000002224919,0.0003890198,0.1412018,0.001068502,0.8260175],"study_design_scores_gemma":[0.000245916,0.0005753503,0.03073784,0.0004564816,0.00005180383,0.000006583302,0.02677835,0.0001296638,0.0143563,0.02333507,0.9027761,0.0005505555],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5164159,0.00008871169,0.0004744968,0.00724808,0.001246606,0.0004252776,0.00003905099,0.00002917629,0.4740327],"genre_scores_gemma":[0.9906398,0.00004132347,0.00001630222,0.00035692,0.0001341127,0.000005407798,0.000002255739,0.000004770528,0.008799099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9017076,"threshold_uncertainty_score":0.2206832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841703532606072,"score_gpt":0.3138458456633196,"score_spread":0.2754288103372589,"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."}}