{"id":"W2734616033","doi":"10.1609/aimag.v37i2.2660","title":"The AIIDE 2015 Workshop Program","year":2016,"lang":"en","type":"article","venue":"AI Magazine","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Entertainment; Computer science; Narrative; Joint (building); Multimedia; Artificial intelligence; Engineering; Visual arts; Architectural engineering; Art","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":[0.006765315,0.001043011,0.0006782228,0.00140624,0.00185415,0.005701024,0.001881371,0.001828779,0.2192034],"category_scores_gemma":[0.004641403,0.0004100986,0.0008265447,0.0005764376,0.0004836289,0.001907213,0.005579836,0.002462194,0.1308434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588358,"about_ca_system_score_gemma":0.005877398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046764,"about_ca_topic_score_gemma":0.006726037,"domain_scores_codex":[0.9977673,0.0004500028,0.00006503674,0.0003142898,0.0009881428,0.0004152042],"domain_scores_gemma":[0.9932653,0.0003329835,0.0001457733,0.000280222,0.001959905,0.004015863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002646869,0.000303858,0.0002645993,0.00009610032,0.000008348691,0.00006735533,0.00009626166,0.0002424874,0.0007286971,0.005784462,0.9566079,0.03553528],"study_design_scores_gemma":[0.00003986353,0.00007466078,0.0005520851,0.00006206028,0.000003805578,0.00002902973,0.0001261297,0.0003052827,0.0005055143,0.001612314,0.9966785,0.00001067829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009323886,0.003174876,0.01500234,0.03948577,0.05775205,0.002925692,0.01070322,0.002767544,0.8588646],"genre_scores_gemma":[0.02785255,0.001535188,0.008062489,0.005734556,0.004856828,0.002005138,0.01194811,0.0008466351,0.9371585],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2192034,"threshold_uncertainty_score":0.7333083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589815767437622,"score_gpt":0.3257900689318565,"score_spread":0.2998919112574803,"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."}}