{"id":"W3093665713","doi":"10.1609/aiide.v16i1.7421","title":"The Unexpected Consequence of Incremental Design Changes","year":2020,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Computer science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002650367,0.0007993459,0.0002443824,0.0007366731,0.000623145,0.001379345,0.0015001,0.001179867,0.002897479],"category_scores_gemma":[0.03056356,0.0006936924,0.0006660631,0.0004666932,0.001566508,0.002293898,0.001379326,0.00194623,0.0004246174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000861824,"about_ca_system_score_gemma":0.0006734789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153928,"about_ca_topic_score_gemma":0.001986427,"domain_scores_codex":[0.9961939,0.001254362,0.0001520049,0.0005417707,0.001538225,0.0003196837],"domain_scores_gemma":[0.9775642,0.0132757,0.001449037,0.005597061,0.001833059,0.0002810541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009094503,0.0007214352,0.03720488,0.001117589,0.0002640971,0.004073313,0.008352901,0.2190992,0.128373,0.1796203,0.009950354,0.4103136],"study_design_scores_gemma":[0.0002773339,0.002003096,0.02917409,0.0002839031,0.0004871262,0.0033897,0.003671284,0.5221099,0.08457665,0.2421162,0.1116652,0.0002455524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5344991,0.000461158,0.4368357,0.001323187,0.0002121471,0.0004343795,0.0003304317,0.00322611,0.02267769],"genre_scores_gemma":[0.8795056,0.0001701254,0.1158236,0.0003083548,0.00003331833,0.0001872667,0.0002294101,0.0005401952,0.003202114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002897479,"threshold_uncertainty_score":0.01401663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09231229999099444,"score_gpt":0.2910865956750674,"score_spread":0.198774295684073,"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."}}