{"id":"W2800195367","doi":"","title":"A Call for Emotion Modeling in Interactive Storytelling.","year":2013,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Narrative; Interactive storytelling; Computer science; Plot (graphics); Agency (philosophy); Storytelling; Consistency (knowledge bases); Face (sociological concept); Human–computer interaction; Artificial intelligence; Multimedia; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002917533,0.0009658958,0.0004507796,0.0005940022,0.0006967268,0.005168023,0.002140583,0.002475717,0.007308647],"category_scores_gemma":[0.009623162,0.000829268,0.001377874,0.0003599515,0.004107744,0.008463928,0.002524495,0.003590327,0.002289983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083451,"about_ca_system_score_gemma":0.0007450603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008706416,"about_ca_topic_score_gemma":0.001508745,"domain_scores_codex":[0.9977319,0.001275717,0.0001025151,0.0004049735,0.0004147134,0.00007011469],"domain_scores_gemma":[0.9949583,0.003258724,0.0002890355,0.0008555268,0.0003021639,0.0003361784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003003404,0.0002961346,0.002732501,0.001361033,0.0001543063,0.0006136728,0.01185484,0.02608938,0.01816097,0.7114583,0.02097834,0.2060001],"study_design_scores_gemma":[0.00007732416,0.000171253,0.001360274,0.0005118644,0.0001229409,0.0008487212,0.002043411,0.1668999,0.00607925,0.5761148,0.2456586,0.0001115683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.007196057,0.001720483,0.9469853,0.01009011,0.0003647304,0.0001620814,0.0001672659,0.001657864,0.03165609],"genre_scores_gemma":[0.1963253,0.001440508,0.78746,0.002546417,0.0002674861,0.0004523729,0.0004397212,0.000638551,0.01042966],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007308647,"threshold_uncertainty_score":0.02444983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06198901611927921,"score_gpt":0.3022585697352455,"score_spread":0.2402695536159663,"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."}}