{"id":"W4389315297","doi":"10.1109/cog57401.2023.10333253","title":"Automatic Bug Detection in Games using LSTM Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Long short term memory; Artificial intelligence; Software bug; Video game; Machine learning; Natural language processing; Programming language; Recurrent neural network; Artificial neural network; Multimedia; Software","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":[0.000627974,0.001616818,0.0005003209,0.001515501,0.0002763067,0.000735679,0.001079154,0.0009370142,0.001237389],"category_scores_gemma":[0.003599241,0.0004484821,0.0006210497,0.0005985507,0.0004687837,0.001531247,0.0007781709,0.001044226,0.0003474591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008476651,"about_ca_system_score_gemma":0.000668973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009102693,"about_ca_topic_score_gemma":0.01427454,"domain_scores_codex":[0.9994129,0.000101712,0.00003667871,0.0002124767,0.0001575458,0.00007871608],"domain_scores_gemma":[0.9989849,0.0004096833,0.0002167395,0.00008067427,0.0002473897,0.00006071168],"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":[0.0006824408,0.0003601614,0.01508834,0.0004453631,0.0003043199,0.001082579,0.0004474098,0.1365721,0.1125351,0.003526116,0.009556489,0.7193996],"study_design_scores_gemma":[0.00001467585,0.0001091658,0.003352549,0.00001900459,0.00004679088,0.0001102186,0.00003896035,0.9781286,0.01407455,0.003077592,0.001006931,0.00002103101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2009916,0.001241461,0.7748882,0.000628855,0.0003085776,0.0001488143,0.0008071,0.01828374,0.002701698],"genre_scores_gemma":[0.8419794,0.000301558,0.1544554,0.0002279797,0.00006198922,0.00008645839,0.0006697321,0.0002484502,0.001968958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009102693,"threshold_uncertainty_score":0.01809943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547563586109221,"score_gpt":0.2833547632484498,"score_spread":0.2578791273873576,"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."}}