{"id":"W2139760425","doi":"10.1145/1141911.1141969","title":"Interaction capture and synthesis","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Motion capture; Computer science; Animation; Perturbation (astronomy); Contact force; Computer animation; Simulation; Motion (physics); Computer vision; Computer graphics (images); Classical mechanics; Physics","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":[0.0005297225,0.0009227694,0.0007158318,0.0006398344,0.0005349985,0.00135129,0.001118154,0.0009941908,0.01195696],"category_scores_gemma":[0.001527248,0.0005626396,0.0007379755,0.0004359155,0.000587035,0.0009089997,0.001818621,0.001040642,0.002803275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005242195,"about_ca_system_score_gemma":0.0007625693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251012,"about_ca_topic_score_gemma":0.001286695,"domain_scores_codex":[0.9992729,0.00007657876,0.00003835771,0.000162437,0.0003737116,0.00007600725],"domain_scores_gemma":[0.9995043,0.0001348478,0.00003499586,0.0001786621,0.0001195022,0.0000276456],"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":[0.0002358456,0.0001329106,0.0007427087,0.0006501797,0.00007164357,0.0004926369,0.0005205174,0.3196791,0.1816474,0.09699761,0.01190274,0.3869266],"study_design_scores_gemma":[0.00004853012,0.000144634,0.0005167539,0.00005755246,0.00002827324,0.0003419854,0.00008872646,0.837096,0.05472977,0.0215161,0.08537211,0.00005946778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003557458,0.0001074215,0.9858119,0.00004932305,0.00007469973,0.0001268934,0.0001801259,0.001142101,0.008950066],"genre_scores_gemma":[0.2028671,0.0003597125,0.7762152,0.0001551202,0.00005990704,0.0008946547,0.0009169091,0.0007990101,0.01773244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01195696,"threshold_uncertainty_score":0.04000002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105369568245539,"score_gpt":0.2085673822606057,"score_spread":0.1975136865781503,"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."}}