{"id":"W4306681012","doi":"10.1609/aiide.v18i1.21972","title":"EM-Glue: A Platform for Decoupling Experience Managers and Environments","year":2022,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Rannís","keywords":"Decoupling (probability); Computer science; Software; Human–computer interaction; Visualization; Field (mathematics); Software engineering; Engineering; Operating system; Artificial intelligence","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":[0.0001407564,0.0001567552,0.0001544519,0.00009322716,0.0002861379,0.0005042086,0.0006644204,0.00001887677,0.00002299711],"category_scores_gemma":[0.00007581074,0.0001276339,0.00006213825,0.0001462172,0.0001197073,0.001007749,0.0008514159,0.0001213456,0.000003038093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007009146,"about_ca_system_score_gemma":0.00001422087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003636176,"about_ca_topic_score_gemma":7.393988e-7,"domain_scores_codex":[0.9987645,0.00000423508,0.0003193773,0.0003963055,0.0003132265,0.0002024122],"domain_scores_gemma":[0.9994372,0.00006842316,0.0002344781,0.0001301863,0.00005957068,0.00007013747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002231765,0.0004692034,0.0007234306,0.00004322306,0.00007547034,9.137717e-7,0.01336064,0.0001078406,0.004605589,0.8014553,0.0001036555,0.1788315],"study_design_scores_gemma":[0.0002716358,0.001691447,0.0003357145,0.0002561173,0.00003840886,0.00002410573,0.07061413,0.6814701,0.163035,0.07457913,0.006978038,0.0007061489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8139962,0.00002874668,0.1800928,0.001385817,0.0003930861,0.0009388448,0.00008728422,0.00004185295,0.003035426],"genre_scores_gemma":[0.9988422,0.00003406973,0.0002725085,0.0003858123,0.0000109463,0.00008698911,0.000004387504,0.000007587586,0.000355443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7268762,"threshold_uncertainty_score":0.5204762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05359777811706851,"score_gpt":0.3056671953468355,"score_spread":0.2520694172297669,"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."}}