{"id":"W4390938932","doi":"10.1109/tg.2024.3355285","title":"Searching Bug Instances in Gameplay Video Repositories","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Games","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ubisoft (Canada); University of Alberta","funders":"","keywords":"Computer science; Metadata; Information retrieval; Code (set theory); Video game; Multimedia; World Wide Web; 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":[0.001311106,0.002241077,0.001123771,0.0162983,0.0007729403,0.001705263,0.00210536,0.001729121,0.001174462],"category_scores_gemma":[0.01224787,0.0005742607,0.0009835421,0.007436633,0.0006525664,0.003666164,0.002052862,0.0009315446,0.001026791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323049,"about_ca_system_score_gemma":0.001220692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01609022,"about_ca_topic_score_gemma":0.0241879,"domain_scores_codex":[0.9972785,0.0002829269,0.0003647381,0.0009264813,0.0009380471,0.0002093686],"domain_scores_gemma":[0.9935115,0.003090518,0.001316312,0.0007207375,0.001034319,0.0003266521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001027425,0.0009622548,0.1474731,0.005365189,0.0004871603,0.00634747,0.004127643,0.01063379,0.04702153,0.004785597,0.1773798,0.5943891],"study_design_scores_gemma":[0.0003232558,0.00114903,0.3048942,0.00138806,0.0007853584,0.01230002,0.01062013,0.372615,0.08155669,0.01120355,0.2027389,0.0004258257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6549156,0.01207322,0.1050948,0.00144467,0.0003471688,0.001469117,0.1675665,0.04953748,0.007551417],"genre_scores_gemma":[0.5505946,0.002644847,0.1657986,0.0003942071,0.0001695845,0.0008873949,0.2740828,0.001507129,0.003920734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0162983,"threshold_uncertainty_score":0.03199309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190821321165494,"score_gpt":0.3115706933476348,"score_spread":0.2924885612310854,"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."}}