{"id":"W1864613557","doi":"","title":"A demonstration of ScriptEase interruptible and resumable behaviors for CRPGs","year":2007,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scripting language; Adventure; Computer science; Code (set theory); Human–computer interaction; Generative grammar; Multimedia; Artificial intelligence; Programming language","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":[0.0001934141,0.0003873487,0.000121091,0.0001506438,0.0002388982,0.0002776011,0.0005558732,0.0004140814,0.0050316],"category_scores_gemma":[0.0008408057,0.0001341433,0.0002053761,0.00005254468,0.0004159503,0.0002621513,0.000640137,0.0004402062,0.0006453958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533014,"about_ca_system_score_gemma":0.0001508166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039988,"about_ca_topic_score_gemma":0.001921028,"domain_scores_codex":[0.9998728,0.0000398017,0.000005849816,0.00002012882,0.00003437141,0.00002711193],"domain_scores_gemma":[0.9996142,0.0001382769,0.00002312764,0.00006262862,0.00003301915,0.000128665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009159109,0.001720133,0.01322005,0.0006516306,0.00007013765,0.005208808,0.01188525,0.04023853,0.7331853,0.02810418,0.01331519,0.151485],"study_design_scores_gemma":[0.0003284228,0.003596304,0.03492682,0.000195879,0.00006203014,0.00344014,0.002109355,0.4483478,0.3788818,0.01044131,0.1175027,0.0001674399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8075261,0.00006345686,0.1494742,0.0003370771,0.00006767496,0.000401365,0.0005023208,0.01167283,0.02995493],"genre_scores_gemma":[0.9353365,0.00003615792,0.05316791,0.00007784307,0.000004140608,0.0001518251,0.0002553632,0.0006412168,0.01032898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0050316,"threshold_uncertainty_score":0.01683235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04726854120526057,"score_gpt":0.3354657064246685,"score_spread":0.2881971652194079,"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."}}