{"id":"W2734616033","doi":"10.1609/aimag.v37i2.2660","title":"The AIIDE 2015 Workshop Program","year":2016,"lang":"en","type":"article","venue":"AI Magazine","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Entertainment; Computer science; Narrative; Joint (building); Multimedia; Artificial intelligence; Engineering; Visual arts; Architectural engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000354278,0.0001102331,0.00008736278,0.00003162324,0.000164147,0.0002332877,0.001257486,0.00004387292,0.00004659507],"category_scores_gemma":[0.0002755227,0.00005328632,0.00005387294,0.0002905864,0.0001858659,0.0004284936,0.0003198148,0.00009328196,0.004037399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002975188,"about_ca_system_score_gemma":0.00004636827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000455452,"about_ca_topic_score_gemma":0.00007817876,"domain_scores_codex":[0.9988337,0.00004942868,0.0002134265,0.0002784791,0.0002464695,0.000378511],"domain_scores_gemma":[0.9984853,0.000416859,0.00005914133,0.0008230783,0.0001292666,0.00008631044],"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":[0.000003559023,0.0000272518,0.0002252312,6.81349e-7,0.000005729797,0.000006925985,0.00007196286,0.000003118237,0.0006238837,0.03935189,0.1018767,0.8578031],"study_design_scores_gemma":[0.00005623984,0.00008102565,0.0009058849,0.00002571532,0.000002614702,0.00001022539,0.00001231438,0.003566127,0.005065846,0.03599012,0.954133,0.0001508808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003576711,0.0007088752,0.762114,0.2171699,0.001704777,0.0005594426,0.000001429734,0.000989644,0.01317517],"genre_scores_gemma":[0.9023452,0.0002951127,0.0354771,0.00316966,0.0006444881,0.0002110488,7.423389e-7,0.00003447976,0.05782217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8987685,"threshold_uncertainty_score":0.9967381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589815767437622,"score_gpt":0.3257900689318565,"score_spread":0.2998919112574803,"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."}}