{"id":"W4389394090","doi":"10.54254/2753-7048/29/20231440","title":"Generative AI Processes for 2D Platformer Game Character Design and Animation","year":2023,"lang":"en","type":"article","venue":"Lecture Notes in Education Psychology and Public Media","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Animation; Computer science; Character (mathematics); Skeletal animation; Generative grammar; Multimedia; Character animation; Focus (optics); Process (computing); Software; Video game; Human–computer interaction; Randomness; Computer facial animation; Computer animation; Artificial intelligence; Computer graphics (images); 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":[0.001185433,0.000615961,0.0002921748,0.0005095124,0.0007243117,0.001333681,0.0008415415,0.0007827679,0.009034997],"category_scores_gemma":[0.003264064,0.000382938,0.000687078,0.0002723298,0.001749268,0.001154306,0.002294079,0.000944462,0.001089539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007614891,"about_ca_system_score_gemma":0.0004973694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008014159,"about_ca_topic_score_gemma":0.0008996243,"domain_scores_codex":[0.9992595,0.0003336635,0.00002505526,0.0001235984,0.0002077044,0.00005039545],"domain_scores_gemma":[0.9988906,0.0007760652,0.00006526389,0.0001357857,0.00007650867,0.00005575283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001310858,0.0001125658,0.001206773,0.0003052851,0.00004844364,0.0004329845,0.002697762,0.4164681,0.03419165,0.4353935,0.001964829,0.1070471],"study_design_scores_gemma":[0.00003308853,0.000116355,0.0003508883,0.00005814776,0.00001687314,0.0002063016,0.0001875648,0.8598176,0.01046454,0.104065,0.02464512,0.0000385452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01652642,0.0001367778,0.968095,0.0001878529,0.00004115121,0.0001495141,0.00003281273,0.0005271028,0.01430337],"genre_scores_gemma":[0.5398703,0.0003365422,0.445349,0.00013302,0.00003143001,0.0004678355,0.0001070938,0.0002510158,0.01345376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009034997,"threshold_uncertainty_score":0.03022504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03876720433319492,"score_gpt":0.3220050175763201,"score_spread":0.2832378132431251,"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."}}