{"id":"W2120993706","doi":"10.1002/cav.1631","title":"Perceptual validity in animation of human motion","year":2015,"lang":"en","type":"article","venue":"Computer Animation and Virtual Worlds","topic":"Human Motion and Animation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Carleton University","funders":"Isfahan University of Technology; LG Display","keywords":"Computer science; Animation; Parallels; Perception; Motion (physics); Character animation; Context (archaeology); Set (abstract data type); Motion capture; Computer animation; Artificial intelligence; Human motion; Human–computer interaction; Computer vision; Computer graphics (images); Psychology","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":[0.007848671,0.0003942158,0.0003230482,0.0006298951,0.0006705237,0.001921813,0.0008511961,0.001151083,0.003434263],"category_scores_gemma":[0.03278755,0.0002905581,0.0003924632,0.0001868324,0.003800316,0.002435453,0.002876057,0.001015754,0.0001993825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008020909,"about_ca_system_score_gemma":0.0005137059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004635738,"about_ca_topic_score_gemma":0.0003085012,"domain_scores_codex":[0.9896862,0.007827538,0.0003162757,0.0005852142,0.001371551,0.0002132182],"domain_scores_gemma":[0.9817926,0.01341236,0.001589221,0.001500121,0.001315982,0.0003896081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002887367,0.000535427,0.01649697,0.002965902,0.0001518182,0.00110333,0.04089313,0.03318377,0.3883595,0.2931543,0.002550268,0.2177182],"study_design_scores_gemma":[0.0006213128,0.006057902,0.06542957,0.001497043,0.0002437014,0.003785241,0.02824607,0.2558731,0.1179824,0.4553688,0.06443936,0.0004554018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.573732,0.0008674873,0.368432,0.001920448,0.0001948143,0.0005889611,0.0000794654,0.0002832241,0.05390159],"genre_scores_gemma":[0.9719929,0.00012144,0.02687263,0.00009408226,0.00001690812,0.0001060762,0.0000292317,0.00002824099,0.0007384587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007848671,"threshold_uncertainty_score":0.0415082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05853456327586035,"score_gpt":0.2728215236771729,"score_spread":0.2142869604013125,"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."}}