{"id":"W2184386644","doi":"10.1609/aiide.v6i1.12413","title":"Socially Consistent Characters in Player-Specific Stories","year":2010,"lang":"en","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":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Set (abstract data type); Representation (politics); Character (mathematics); Context (archaeology); Human–computer interaction; Personality; Content (measure theory); Internet privacy; Psychology; Social psychology; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003000849,0.0001981314,0.0002530294,0.0001110662,0.0001224226,0.0005693725,0.0004455802,0.00009071338,0.0001028583],"category_scores_gemma":[0.0004600375,0.0001542995,0.0001193629,0.0001942236,0.0008468224,0.0009144809,0.0001496044,0.000392615,0.00002922554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057633,"about_ca_system_score_gemma":0.0001221358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007654665,"about_ca_topic_score_gemma":0.0003904543,"domain_scores_codex":[0.9983969,0.0000124274,0.0004345512,0.0003426972,0.0004577287,0.0003556882],"domain_scores_gemma":[0.9990482,0.0001379516,0.000266679,0.00009773243,0.0003123231,0.0001370882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002617803,0.000408896,0.00302213,0.00001398196,0.0000249606,0.000001288523,0.02760057,4.871978e-7,0.01041657,0.6754902,0.00008477752,0.2826743],"study_design_scores_gemma":[0.0005182787,0.00160821,0.01712773,0.001779034,0.00005247227,0.00001209565,0.3957413,0.0003528749,0.2351887,0.1353649,0.2104738,0.001780583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.81836,0.000009907252,0.00001397193,0.003327121,0.0008143901,0.0004067103,0.00001830206,0.00001994063,0.1770297],"genre_scores_gemma":[0.9972035,0.0001232023,0.00001936849,0.0001996103,0.0001155342,0.00003259295,0.000002017892,0.00001107666,0.002293068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5401253,"threshold_uncertainty_score":0.6292151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04966939385111169,"score_gpt":0.3060074731587688,"score_spread":0.2563380793076571,"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."}}