{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002641012,0.000104373,0.0001472687,0.0002095021,0.00003483894,0.00003979899,0.00005551058,0.00005667129,0.00006627753],"category_scores_gemma":[0.000009695827,0.0001132854,0.00002537178,0.0001783629,0.00003026557,0.0003309478,0.0000223783,0.00008824804,0.00002868661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005824743,"about_ca_system_score_gemma":0.00000619222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005745601,"about_ca_topic_score_gemma":0.00002933434,"domain_scores_codex":[0.9992644,0.00005680314,0.0003039259,0.0001189624,0.0001549866,0.0001009786],"domain_scores_gemma":[0.9997287,0.00001591755,0.00004386065,0.00008183806,0.00006077094,0.00006891674],"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":[0.0001155058,0.001002943,0.04194598,0.0009497678,0.00009076019,0.00001108645,0.06830713,0.1105874,0.1122671,0.2507688,0.03072589,0.3832275],"study_design_scores_gemma":[0.001203082,0.0003430661,0.2565566,0.00008758947,0.000008416879,0.000004718259,0.0004892162,0.73846,0.001105651,0.0009223128,0.0005738341,0.00024554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899946,0.00001965668,0.1073022,0.00002829736,0.0001498994,0.0001065236,0.000002972104,0.0001343619,0.002261582],"genre_scores_gemma":[0.9986588,0.000007134177,0.001057014,0.00002914208,0.0001006099,0.000004067248,0.00005078054,0.00001178552,0.00008068668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6278726,"threshold_uncertainty_score":0.4619644,"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."}}