{"id":"W2962843098","doi":"10.1145/3309486.3339891","title":"Interaction motion retargeting to highly dissimilar furniture environment","year":2019,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science, ICT and Future Planning","keywords":"Retargeting; Motion (physics); Computer science; Animation; Key (lock); Artificial intelligence; Computer vision; Human–computer interaction; Computer animation; Computer graphics (images)","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":[0.000294044,0.001150286,0.0005898061,0.0005425988,0.0003391724,0.0004016502,0.0008105951,0.0005430862,0.002618621],"category_scores_gemma":[0.001741979,0.0003544718,0.0004951195,0.0002853062,0.0004423821,0.0005654745,0.001248871,0.0007506537,0.0006588695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002474789,"about_ca_system_score_gemma":0.0002358962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554483,"about_ca_topic_score_gemma":0.002132179,"domain_scores_codex":[0.9995617,0.0000671823,0.00001755556,0.0001415372,0.0001550444,0.00005699399],"domain_scores_gemma":[0.9994298,0.00017933,0.00007948626,0.0001727307,0.00007977301,0.00005887795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000462843,0.0001137522,0.0009973507,0.0002180369,0.00006520235,0.0004578164,0.0006036766,0.04725411,0.5645239,0.002131734,0.001684171,0.3814874],"study_design_scores_gemma":[0.00008275822,0.001113124,0.008425932,0.00005083952,0.000111805,0.001846323,0.0004159589,0.6990783,0.2575049,0.004026713,0.02723185,0.0001115303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09463739,0.0004584944,0.8993073,0.00011363,0.0001307505,0.0001230466,0.00005145453,0.001852364,0.003325524],"genre_scores_gemma":[0.6744742,0.0004082862,0.3157212,0.0001838008,0.0000644391,0.00009336253,0.0002300065,0.0008113818,0.008013369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002618621,"threshold_uncertainty_score":0.008760154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006546145820146043,"score_gpt":0.1901140936866106,"score_spread":0.1835679478664645,"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."}}