{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001849249,0.0003884684,0.0002716126,0.001162941,0.001715344,0.003171267,0.000650735,0.0009203996,0.005789725],"category_scores_gemma":[0.005862903,0.000242748,0.0003785414,0.000986924,0.003712098,0.003578532,0.0009773155,0.001059284,0.0004086948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363736,"about_ca_system_score_gemma":0.0006697129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008929656,"about_ca_topic_score_gemma":0.000727704,"domain_scores_codex":[0.9981097,0.001262835,0.00006081929,0.0001589109,0.0003166883,0.0000909598],"domain_scores_gemma":[0.9958979,0.003231288,0.0001536885,0.0002254293,0.0003981722,0.00009332326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001340995,0.000155106,0.004221057,0.001122706,0.00002828537,0.0007287499,0.0986937,0.002864211,0.01132248,0.6877469,0.004480646,0.1885021],"study_design_scores_gemma":[0.00006654491,0.000697956,0.01022474,0.001496378,0.0001144288,0.003289864,0.07303958,0.0240036,0.02998547,0.1534311,0.7035211,0.0001292933],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2909783,0.01252714,0.2541561,0.005367657,0.0008430753,0.0002778974,0.00005400487,0.0002425129,0.4355534],"genre_scores_gemma":[0.925042,0.004485881,0.03816422,0.0003783513,0.0001929321,0.0001062161,0.00003979633,0.0001407606,0.0314498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005789725,"threshold_uncertainty_score":0.01936859,"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."}}