{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008087345,0.002144189,0.0009674675,0.00147185,0.0004685784,0.001757213,0.001555385,0.001173124,0.006752418],"category_scores_gemma":[0.005046101,0.0004507307,0.0009879816,0.0007845886,0.0005290151,0.001839051,0.001667051,0.001226901,0.003711683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000716876,"about_ca_system_score_gemma":0.0007444701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003209534,"about_ca_topic_score_gemma":0.005121428,"domain_scores_codex":[0.9988733,0.0002270778,0.00006578742,0.000505369,0.0002346404,0.00009377416],"domain_scores_gemma":[0.998723,0.0004659992,0.00009544723,0.0003563983,0.0002785096,0.00008061867],"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":[0.0006375968,0.0003238035,0.001838933,0.0006024855,0.0001479835,0.000512185,0.0004982066,0.05441116,0.06933577,0.007449043,0.02164757,0.8425953],"study_design_scores_gemma":[0.000144524,0.0004609806,0.001833669,0.00008748037,0.0001144172,0.0004403028,0.0004970455,0.8638316,0.08512463,0.02180663,0.02555018,0.0001085494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03888208,0.0006508208,0.9252236,0.0002943353,0.0004049528,0.0006065499,0.001823523,0.02671236,0.005401771],"genre_scores_gemma":[0.3664675,0.0004288674,0.6070099,0.0003812661,0.0001473385,0.0005035152,0.01136277,0.00270088,0.01099796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006752418,"threshold_uncertainty_score":0.02258915,"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."}}