{"id":"W4416771567","doi":"10.1609/aiide.v21i1.36952","title":"FrontMatter","year":2025,"lang":"","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Alberta Machine Intelligence Institute","keywords":"Applications of artificial intelligence; Set (abstract data type); Natural (archaeology); Key (lock)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003803032,0.0008886335,0.000723244,0.001416169,0.001208889,0.003867291,0.001110398,0.002007013,0.9534222],"category_scores_gemma":[0.001707743,0.0003600605,0.0005476137,0.0009080928,0.000355585,0.002396058,0.002528509,0.001394576,0.9112111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005611149,"about_ca_system_score_gemma":0.0007133523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445094,"about_ca_topic_score_gemma":0.003530538,"domain_scores_codex":[0.9996287,0.00002795863,0.00001846746,0.00009192889,0.0001810195,0.00005195271],"domain_scores_gemma":[0.9991052,0.0001061724,0.00003415244,0.0001245155,0.0003788475,0.0002510971],"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":[0.00005178009,0.00003317983,0.0001325908,0.000102899,0.00000265618,0.00006736261,0.00003472845,0.00003572324,0.0003371261,0.001924841,0.8718187,0.1254583],"study_design_scores_gemma":[0.000006818018,0.00001102002,0.0001519268,0.00003409377,0.000001274785,0.00004795783,0.00002162101,0.00003067156,0.00009405433,0.0003143683,0.9992831,0.000003179123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004216218,0.000705809,0.0008485627,0.001708908,0.004375212,0.00009963574,0.002088213,0.001893675,0.9878584],"genre_scores_gemma":[0.0007621648,0.0002536251,0.000145869,0.0004891891,0.0002315473,0.00001400734,0.0006429131,0.0002735738,0.9971871],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04657781,"threshold_uncertainty_score":0.06643754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365538546710614,"score_gpt":0.3106547302440802,"score_spread":0.2741008755730189,"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."}}