{"id":"W1561304027","doi":"10.1609/aimag.v34i1.2449","title":"Interactive Narrative: An Intelligent Systems Approach","year":2013,"lang":"en","type":"article","venue":"AI Magazine","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":291,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Narrative; Entertainment; Computer science; Multimedia; Human–computer interaction; Visual arts; Art; Literature","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":[0.001770489,0.0008297264,0.0005829853,0.002328493,0.001595304,0.008801316,0.002346273,0.002429663,0.006782858],"category_scores_gemma":[0.002542284,0.0005214578,0.0009628159,0.001177667,0.00937796,0.008797278,0.003069214,0.002521164,0.001179273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003732126,"about_ca_system_score_gemma":0.002186967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003524483,"about_ca_topic_score_gemma":0.002820384,"domain_scores_codex":[0.9986756,0.0006513468,0.00007763804,0.0002192361,0.0002730488,0.0001030666],"domain_scores_gemma":[0.9987066,0.0008117939,0.0001005848,0.0001228365,0.0001463222,0.0001118645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001119993,0.00001978234,0.0002303357,0.0001547559,0.00002585046,0.0001340963,0.00130168,0.003853905,0.0002471162,0.9772207,0.00274692,0.01405368],"study_design_scores_gemma":[0.00001742518,0.00003538939,0.0002232793,0.0001922741,0.00003181077,0.0002623275,0.001334715,0.01547149,0.0005816987,0.811841,0.1699842,0.0000244478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00959935,0.02312186,0.5288864,0.02023756,0.0006462939,0.000269456,0.0001787657,0.0005427046,0.4165177],"genre_scores_gemma":[0.6169454,0.02524417,0.2885582,0.003191573,0.001072909,0.0006979617,0.0003341128,0.0002577245,0.06369799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008801316,"threshold_uncertainty_score":0.02707863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883995263335977,"score_gpt":0.298659651766415,"score_spread":0.2698196991330552,"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."}}