{"id":"W4231877810","doi":"10.1145/1882261.1866183","title":"Animation wrinkling","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wrinkle; Computer science; Animation; Computer graphics (images); Computer facial animation; Process (computing); Computer animation; Computer vision; Artificial intelligence","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":[0.0003537239,0.0009561473,0.0004486784,0.0006812575,0.0005195571,0.0009344759,0.0009212462,0.0007324873,0.02933724],"category_scores_gemma":[0.001365641,0.0003893616,0.0007623734,0.000285832,0.0004332367,0.0009568189,0.001583851,0.0009023765,0.00337534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002635598,"about_ca_system_score_gemma":0.00029555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006574453,"about_ca_topic_score_gemma":0.001132736,"domain_scores_codex":[0.9997612,0.00003350748,0.00001381577,0.00005780569,0.00010466,0.00002901775],"domain_scores_gemma":[0.9995874,0.000131156,0.00002188424,0.0001639195,0.00005520244,0.00004045729],"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":[0.0004763358,0.0001864869,0.001447118,0.0008688409,0.00008278729,0.0007572068,0.001080653,0.1410929,0.2886443,0.03764097,0.02787096,0.4998514],"study_design_scores_gemma":[0.0001128766,0.0002928818,0.002132197,0.0001191305,0.00006446277,0.000953401,0.0001957794,0.624871,0.1374502,0.01802628,0.2156736,0.0001082144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03553601,0.0003012533,0.9076237,0.000236097,0.0005001744,0.0003198106,0.0006855818,0.01672374,0.03807373],"genre_scores_gemma":[0.4343376,0.0007776752,0.5057963,0.0002337164,0.0001190185,0.0003832518,0.002018589,0.00703943,0.04929446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02933724,"threshold_uncertainty_score":0.09814292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266892181490713,"score_gpt":0.2232383872475875,"score_spread":0.2105694654326804,"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."}}