{"id":"W1985665556","doi":"10.1145/1179622.1179626","title":"Slow in and slow out cartoon animation filter","year":2006,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Animation; Computer science; Computer graphics (images); Filter (signal processing); Non-photorealistic rendering; Computer animation; Computer vision; Computer facial animation","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":[0.0004938245,0.001023766,0.0009634083,0.0008244527,0.0004999328,0.0008567235,0.0005697897,0.0009170347,0.04303613],"category_scores_gemma":[0.002482826,0.0004159255,0.0003973799,0.0004841166,0.000293294,0.0006321025,0.0005918916,0.0008541719,0.006334018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940901,"about_ca_system_score_gemma":0.0006730026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005954283,"about_ca_topic_score_gemma":0.009140599,"domain_scores_codex":[0.9997283,0.00002520042,0.00001006854,0.00005539323,0.0001179274,0.00006308671],"domain_scores_gemma":[0.9992392,0.0002376899,0.00003436975,0.0001346126,0.000262213,0.00009195067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002682305,0.0002384544,0.001523521,0.0003040638,0.000116981,0.0002163575,0.00007989746,0.0127351,0.1611659,0.005947594,0.04177758,0.7732121],"study_design_scores_gemma":[0.0002882426,0.0003688325,0.007574421,0.00007199121,0.0002030461,0.0004361978,0.0000977567,0.7303564,0.1898189,0.0038063,0.06690189,0.0000759191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0619474,0.0009955134,0.90212,0.0006554283,0.001310304,0.0002780792,0.001288859,0.01012091,0.02128342],"genre_scores_gemma":[0.4053448,0.0009740543,0.4851266,0.0005823851,0.0004746494,0.0002744531,0.003056642,0.00272974,0.1014367],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04303613,"threshold_uncertainty_score":0.1439702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009918658453564702,"score_gpt":0.1981075502424114,"score_spread":0.1881888917888467,"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."}}