{"id":"W4397026545","doi":"10.1109/tg.2024.3402626","title":"AstroBug: Automatic Game Bug Detection Using Deep Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Games","topic":"Digital Games and Media","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Game based learning; Natural language processing; Multimedia","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":[0.0007317198,0.001941234,0.0007361423,0.001884317,0.0003214074,0.0008011078,0.00201536,0.001056643,0.002747829],"category_scores_gemma":[0.002669175,0.0006332618,0.000680497,0.0006956626,0.0004172173,0.001677205,0.001406613,0.00160689,0.001198787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047788,"about_ca_system_score_gemma":0.001203045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591611,"about_ca_topic_score_gemma":0.02718273,"domain_scores_codex":[0.9994177,0.00009601831,0.00002693181,0.0002128963,0.000157264,0.00008919675],"domain_scores_gemma":[0.9992703,0.0002558485,0.0001127631,0.0001209128,0.0001679115,0.00007215437],"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":[0.0005416867,0.001001801,0.01658982,0.0004235088,0.0003275236,0.0004282755,0.0002067541,0.07613333,0.02686547,0.001952998,0.0442401,0.8312888],"study_design_scores_gemma":[0.00004525622,0.0001391743,0.002981151,0.00002974753,0.00002867367,0.00006745331,0.00004008657,0.983461,0.00718896,0.002459228,0.003534545,0.00002460611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1745163,0.00234389,0.6556277,0.0008708219,0.0004236513,0.0007114181,0.005643036,0.1529588,0.006904352],"genre_scores_gemma":[0.6099412,0.0004581292,0.3693587,0.0006281015,0.0000604839,0.000469719,0.009520733,0.001198014,0.008364836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01591611,"threshold_uncertainty_score":0.03164691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104470258763144,"score_gpt":0.2929950118440005,"score_spread":0.2719503092563691,"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."}}