{"id":"W2010134184","doi":"10.1145/2485895.2485896","title":"Rod constraints for simplified ragdolls","year":2013,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Electronic Arts (Canada)","funders":"Research Councils UK","keywords":"Animation; Computer science; Representation (politics); Character (mathematics); Feature (linguistics); Computer graphics (images); Character animation; Computer animation; Skeletal animation; Instability; Rigid body; Computer facial animation; Geometry; Physics; Classical mechanics; Mechanics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002204267,0.00003473843,0.00003734135,0.00001624936,0.00001633929,0.00002389503,0.00002338815,0.0000198771,0.004315658],"category_scores_gemma":[0.000007643262,0.00003130198,0.00001829624,0.00001638033,0.000008340186,0.00006514866,0.000001852857,0.00001688393,0.0007705678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000713219,"about_ca_system_score_gemma":0.000001631825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001173349,"about_ca_topic_score_gemma":0.000001352438,"domain_scores_codex":[0.9998019,0.000001661969,0.00006453934,0.00003668854,0.00002342784,0.00007172684],"domain_scores_gemma":[0.9998978,0.00001355923,0.000004027326,0.00004034395,0.00001753186,0.00002669198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002381236,0.00004013007,0.0001569442,0.0001782866,0.00005795129,3.840864e-7,0.0005157524,0.004992772,0.1607423,0.1151242,0.4222358,0.2959531],"study_design_scores_gemma":[0.003264775,0.0001006075,0.02782929,0.00004449236,0.0000199182,0.000008018542,0.0008200273,0.778773,0.06021905,0.02399096,0.1040508,0.0008791593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2154635,0.000009917766,0.5639769,0.0002455321,0.0002523783,0.0005612681,0.000006099086,0.0007566894,0.2187277],"genre_scores_gemma":[0.9959708,0.000001007009,0.002313479,0.0001051186,0.00003893978,0.00002626896,0.000006341561,0.000007032785,0.001531009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7805073,"threshold_uncertainty_score":0.9965945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560882857226099,"score_gpt":0.215978517986452,"score_spread":0.200369689414191,"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."}}