{"id":"W7027119678","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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Narrative; Interactive storytelling; Plot (graphics); Agency (philosophy); Storytelling; Consistency (knowledge bases)","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":[0.002683785,0.000913703,0.0005812825,0.0005869254,0.000768792,0.005637101,0.002161136,0.002503682,0.005260084],"category_scores_gemma":[0.00762108,0.001074207,0.001502615,0.0003580468,0.004257143,0.0087656,0.002206151,0.003181692,0.001508926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240755,"about_ca_system_score_gemma":0.0006718046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350097,"about_ca_topic_score_gemma":0.001653852,"domain_scores_codex":[0.9977258,0.001327096,0.0001225331,0.0003827652,0.000350331,0.0000915436],"domain_scores_gemma":[0.9962298,0.002520173,0.0002159543,0.00058153,0.0002282634,0.0002243142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003797053,0.000339648,0.002925139,0.0009955816,0.0001442932,0.0006771424,0.01368232,0.06902778,0.01899376,0.7187726,0.01041255,0.1636495],"study_design_scores_gemma":[0.00009339816,0.0001581782,0.001243702,0.0003859767,0.000119824,0.0004961331,0.001790678,0.3306313,0.006397164,0.547704,0.1108495,0.0001300135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01515796,0.001177975,0.9515449,0.007493646,0.000233329,0.0001317802,0.0001264327,0.001685501,0.02244836],"genre_scores_gemma":[0.3367236,0.001070757,0.6524248,0.001488578,0.000219459,0.000367806,0.0003006353,0.0006106567,0.006793703],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005637101,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06649594404405815,"score_gpt":0.3048978931692155,"score_spread":0.2384019491251574,"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."}}