{"id":"W3037653762","doi":"10.1609/aiide.v13i2.12973","title":"Designing Stronger AI Personalities","year":2017,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Studio; Personality psychology; Character (mathematics); Game design; Computer science; Recipe; Personality; Game Developer; Game art design; Video game development; Video game; Human–computer interaction; Multimedia; World Wide Web; Psychology; Telecommunications; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002656484,0.0003219145,0.0003131809,0.00011392,0.0006242311,0.002786782,0.002360001,0.00007455821,0.00005659226],"category_scores_gemma":[0.0005948894,0.00023801,0.0001782148,0.00009244573,0.000724078,0.00323436,0.001057409,0.0003526739,0.00006681454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009051674,"about_ca_system_score_gemma":0.00005796852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004793594,"about_ca_topic_score_gemma":0.000008260046,"domain_scores_codex":[0.9978683,0.00001486917,0.0005478423,0.0006104059,0.0005376306,0.000420963],"domain_scores_gemma":[0.9981081,0.0001324973,0.0006035432,0.0004866441,0.0005429792,0.0001262658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001757569,0.000315637,0.004459005,0.00003651618,0.00009099305,0.000002508804,0.007939511,0.00001667612,0.01377623,0.7328748,0.0001968589,0.2401155],"study_design_scores_gemma":[0.00004247125,0.0005893388,0.0008486881,0.000621714,0.0000151856,0.00001271673,0.01123333,0.01911798,0.8192646,0.1473227,0.0004791612,0.0004521046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7549916,0.00006296832,0.1399179,0.02058893,0.001673599,0.001278499,0.00004371694,0.0001742057,0.08126859],"genre_scores_gemma":[0.9980544,0.0000266875,0.0005627873,0.0003629436,0.00007111707,0.00003731785,5.770635e-7,0.00001467519,0.0008695056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8054883,"threshold_uncertainty_score":0.9982484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07028087751818489,"score_gpt":0.3151067728071075,"score_spread":0.2448258952889226,"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."}}