{"id":"W2012307071","doi":"10.5539/ass.v6n4p39","title":"Study on Image Design in Animation","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animation; Exaggeration; Style (visual arts); Expression (computer science); Connotation; Computer science; Image (mathematics); Computer animation; Motion (physics); Art design; Non-photorealistic rendering; Computer graphics (images); Aesthetics; Computer facial animation; Artificial intelligence; Visual arts; Art; Linguistics; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000801278,0.00006411405,0.00006940293,0.0001180816,0.0002016909,0.0003552242,0.0008697005,0.0000217087,0.000003740795],"category_scores_gemma":[0.0001714928,0.00005699516,0.00001510968,0.00109951,0.0001990287,0.001332064,0.000126054,0.0001307207,0.000151752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000309682,"about_ca_system_score_gemma":0.0001047852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006809743,"about_ca_topic_score_gemma":0.00001410331,"domain_scores_codex":[0.9988718,0.0000357584,0.0001051866,0.0002936748,0.0004442211,0.0002493369],"domain_scores_gemma":[0.999641,0.00003779698,0.00003443148,0.0001711288,0.00004170604,0.0000739403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000005809137,0.0008042451,0.002665554,0.000001464496,0.000001292249,0.00004488795,0.02520663,2.054754e-7,0.05071635,0.2977378,0.0002999117,0.6225159],"study_design_scores_gemma":[0.0004045223,0.0006112511,0.9696741,0.000006521123,0.000001095991,0.000003251617,0.001628318,0.0006106912,0.008969435,0.01750285,0.0003432556,0.0002446943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4918532,5.022178e-7,0.02942202,0.001472713,0.0008807869,0.0004605517,4.325861e-7,0.000127588,0.4757822],"genre_scores_gemma":[0.99591,4.722445e-8,0.003856122,0.0001159185,0.00005997234,0.00001233575,6.937258e-8,0.000002286155,0.00004328362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9670085,"threshold_uncertainty_score":0.3425435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03496828425247549,"score_gpt":0.3380651101953459,"score_spread":0.3030968259428704,"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."}}