{"id":"W2099936477","doi":"10.1145/1073368.1073391","title":"AER","year":2005,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Animation; Character animation; Motion (physics); Human–computer interaction; Character (mathematics); Computer animation; Semantics (computer science); Modalities; Motion capture; Bridge (graph theory); Programming language; Multimedia; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000006669995,0.00001045946,0.000008522691,0.000007205054,0.000004379545,0.000003970813,0.000007703501,0.000005258901,0.00269412],"category_scores_gemma":[4.014395e-7,0.000009355414,0.00000425599,0.000009155419,8.220469e-7,0.00003125623,6.417512e-7,0.000009351957,0.001720721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004392551,"about_ca_system_score_gemma":2.135705e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.002582e-7,"about_ca_topic_score_gemma":0.000003031997,"domain_scores_codex":[0.9999372,4.39072e-7,0.00001825147,0.00001034447,0.00001276088,0.00002102783],"domain_scores_gemma":[0.9999735,6.46744e-7,5.592599e-7,0.00001616735,0.000001603047,0.00000752631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.246003e-7,0.00002205311,0.0002791848,0.00001979808,0.00001110899,5.657358e-7,0.0006268905,0.05261032,0.03341357,0.08731312,0.3707893,0.4549136],"study_design_scores_gemma":[0.00008335732,0.000002215248,0.004367389,0.000001540695,6.389056e-7,7.283647e-7,0.00001206262,0.1850968,0.007150481,0.00008805365,0.8031427,0.00005400882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1351997,0.0000152243,0.02674135,0.000160831,0.0000395579,0.00001295732,1.033783e-7,0.000426682,0.8374036],"genre_scores_gemma":[0.9943958,0.000001855783,0.001240507,0.00007805685,0.00005396265,4.051376e-7,4.552848e-7,0.000002050993,0.004226936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8591961,"threshold_uncertainty_score":0.9990566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005750109664115642,"score_gpt":0.1783636709176889,"score_spread":0.1726135612535733,"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."}}