{"id":"W4389315296","doi":"10.1109/cog57401.2023.10333193","title":"Joint Level Generation and Translation Using Gameplay Videos","year":2023,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Representation (politics); Translation (biology); Artificial intelligence; Machine translation; Machine learning; Natural language processing; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002505075,0.00005140637,0.00007023202,0.0001391863,0.0001075009,0.0001570266,0.00006502065,0.0000293757,0.00001227764],"category_scores_gemma":[0.00001228637,0.00004471725,0.00002635197,0.000473831,0.00000708579,0.0004636879,0.00002904386,0.00002424017,0.00001740348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001073984,"about_ca_system_score_gemma":0.0000168124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005495973,"about_ca_topic_score_gemma":0.00006831652,"domain_scores_codex":[0.999412,0.00003304747,0.00014442,0.0001857128,0.0001353795,0.00008946885],"domain_scores_gemma":[0.9997543,0.00001435101,0.00003029887,0.0001333395,0.00003716226,0.00003059621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001596677,0.00002402128,0.00261912,0.00001625176,0.00003935364,0.000006389303,0.00186496,0.03296316,0.4745669,0.05586744,0.002087956,0.4299429],"study_design_scores_gemma":[0.00008119846,0.000007347494,0.004059907,0.000002635448,0.00000532548,0.000001693461,0.00001033705,0.9899803,0.004874934,0.0006834152,0.0002307852,0.00006214571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08615649,0.00002360149,0.9125739,0.0007332434,0.00007397552,0.00004846279,6.236962e-7,0.0001006937,0.0002890278],"genre_scores_gemma":[0.945103,0.00002651618,0.0543144,0.000169023,0.00005919012,0.000002082635,0.00001620177,0.000003846889,0.0003057021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9570171,"threshold_uncertainty_score":0.1823517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.275387679553905,"score_gpt":0.2981141410504166,"score_spread":0.02272646149651159,"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."}}