{"id":"W2756272268","doi":"10.1145/3119881.3119891","title":"Effects of animation retargeting on perceived action outcomes","year":2017,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Retargeting; Motion capture; Animation; Motion (physics); Kinematics; Perception; Action (physics); Computer science; Computer vision; Artificial intelligence; Computer animation; Character animation; Set (abstract data type); Body shape; Communication; Psychology; Computer graphics (images); Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004798059,0.00004852459,0.00006906545,0.0000349085,0.00008585012,0.00003221245,0.00004804421,0.00002796131,0.00007707938],"category_scores_gemma":[0.0000764556,0.00004229954,0.00002849779,0.0000084006,0.000007489966,0.0001776465,0.000004572104,0.00003957402,0.00006884388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001808077,"about_ca_system_score_gemma":0.000001036848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006457054,"about_ca_topic_score_gemma":0.000006435087,"domain_scores_codex":[0.9997419,0.000007723911,0.00008409153,0.00004653436,0.00006846833,0.00005127659],"domain_scores_gemma":[0.9998085,0.00002309661,0.00003762502,0.0001015412,0.00001449264,0.00001472355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001080959,0.00006161232,0.01025879,0.0007226563,0.00005056919,0.000001393212,0.00124545,0.002872045,0.926426,0.00554463,0.001381301,0.05142475],"study_design_scores_gemma":[0.0001921394,0.00001930383,0.9219115,0.00003178027,0.000004619955,1.12744e-7,0.00001575826,0.02968436,0.04791585,0.00007321485,0.0001011846,0.00005011462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754221,0.00000241437,0.003298463,0.00005112583,0.0001584676,0.00007254376,2.591591e-7,0.0001312384,0.02086336],"genre_scores_gemma":[0.999008,0.000007293105,0.0004775164,0.00001302824,0.00002544678,0.000002558195,0.000001942189,0.000007266,0.0004569325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9116527,"threshold_uncertainty_score":0.1724925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284357331543003,"score_gpt":0.2715934011352329,"score_spread":0.2487498278198029,"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."}}