{"id":"W4205398686","doi":"10.1109/cog52621.2021.9619099","title":"Predicting Beliefs from NPC Dialogues","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Conference on Games (CoG)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Harm; Narrative; Computer science; Embedding; Work (physics); Human–computer interaction; Psychology; Social psychology; Artificial intelligence; Engineering; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002285941,0.0004901885,0.0002398805,0.0009166634,0.0002055536,0.001275412,0.0003279033,0.000633228,0.001872221],"category_scores_gemma":[0.03146252,0.0002157934,0.0003287613,0.0003844537,0.0003514701,0.0008821142,0.0009981395,0.0006271824,0.0006936095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004169781,"about_ca_system_score_gemma":0.0002310194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002395413,"about_ca_topic_score_gemma":0.004133636,"domain_scores_codex":[0.9982668,0.0009012784,0.0001391173,0.0002326751,0.0003744709,0.00008563825],"domain_scores_gemma":[0.9764568,0.01734394,0.002478077,0.0009477971,0.00211363,0.0006596192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006566099,0.0005003019,0.9098848,0.0003518155,0.0001391353,0.0001701653,0.01716641,0.003747691,0.005290207,0.0006559308,0.0005390888,0.06089794],"study_design_scores_gemma":[0.0000488615,0.001012149,0.9224727,0.0001772302,0.0001403638,0.0002111967,0.01290259,0.05189174,0.006177347,0.001457706,0.003424044,0.00008407101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914166,0.00004138325,0.004913236,0.00002799116,0.00000495895,0.0001190068,0.0004342054,0.00004442409,0.002998193],"genre_scores_gemma":[0.9955734,0.00004304532,0.003183953,0.00001532835,0.000003107348,0.0001314005,0.0004753101,0.000009980063,0.0005644603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002395413,"threshold_uncertainty_score":0.01208937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06035999936973806,"score_gpt":0.2979389966085816,"score_spread":0.2375789972388436,"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."}}