{"id":"W2184547673","doi":"10.82308/11760","title":"Dataflow analysis on game narratives","year":2009,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Narrative; Dataflow; Computer science; Adventure; Narrative network; Narrative inquiry; Graph; Human–computer interaction; Artificial intelligence; Theoretical computer science; Programming language; Narrative criticism; Linguistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009666148,0.0005191952,0.0006087694,0.000747563,0.0008123993,0.0003241189,0.002678657,0.0002281307,0.0002060859],"category_scores_gemma":[0.0005491361,0.0004981187,0.0004268163,0.003042155,0.0001259291,0.002288589,0.0003647803,0.0007680417,0.001308734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003111044,"about_ca_system_score_gemma":0.00002951847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005928316,"about_ca_topic_score_gemma":0.0001462317,"domain_scores_codex":[0.9955853,0.0004178364,0.0007532411,0.001437264,0.0009581825,0.0008482231],"domain_scores_gemma":[0.9966037,0.0003106143,0.0002977909,0.002124391,0.0002614073,0.0004020788],"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":[0.00003054345,0.0003032536,0.00006472301,0.000004486129,0.0002224312,0.00008792047,0.00005102713,0.001680932,0.01385962,0.6466132,0.00001479085,0.337067],"study_design_scores_gemma":[0.0004337635,0.001288332,0.005529341,0.0001127416,0.0002528317,0.00003770652,0.0003256677,0.01424284,0.34303,0.5269034,0.1056524,0.002191033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919152,0.0001136498,0.001886173,0.0009174051,0.0007832525,0.0004868612,0.0002044161,0.001060336,0.07539589],"genre_scores_gemma":[0.9834945,0.00003300175,0.01332396,0.00213108,0.00004703084,0.00001956314,0.0000207943,0.00002799849,0.0009021001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.334876,"threshold_uncertainty_score":0.999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152467906984167,"score_gpt":0.2780126983473095,"score_spread":0.2464880192774679,"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."}}