{"id":"W4417417609","doi":"10.1016/b978-0-443-13512-5.00008-2","title":"Acquiring animation data","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Motion capture; Animation; Motion (physics); Object (grammar); Computer animation; Kinematics; Position (finance); Inverse kinematics; Character animation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001183856,0.0002303415,0.0002235565,0.0001523729,0.00005882437,0.00006622,0.0003339216,0.0001880518,0.0004605348],"category_scores_gemma":[0.000008626113,0.0002570216,0.0000564745,0.000008280601,0.00002224793,0.0001002499,0.0001275999,0.0002416342,0.0004580856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007425979,"about_ca_system_score_gemma":0.00002376002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.385128e-8,"about_ca_topic_score_gemma":0.000008439487,"domain_scores_codex":[0.999163,0.000005902951,0.0002919812,0.0002488285,0.0001570626,0.0001331913],"domain_scores_gemma":[0.999198,0.00001694191,0.00004796845,0.0006614777,0.00003181314,0.00004375949],"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":[6.865037e-7,8.777168e-7,2.708545e-7,0.0002208273,0.00004082068,0.000002497071,0.00004736936,0.00001824591,0.00005404706,0.01201465,0.003610158,0.9839895],"study_design_scores_gemma":[0.00008536895,0.000004804403,0.000008949034,0.0004725588,0.00004500445,0.000001757535,0.000001924605,0.005184887,0.0000270717,0.002219734,0.9917228,0.0002251331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006041426,0.0006331792,0.0004227986,0.00001448918,0.000389775,0.0002033715,0.000069849,0.0004210766,0.9978394],"genre_scores_gemma":[0.0006170252,0.0001359613,0.0005187284,0.00007767468,0.0002772672,0.000006321968,0.0003752692,0.00005705439,0.9979347],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9881126,"threshold_uncertainty_score":0.9999882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015376779292713,"score_gpt":0.2482128657650946,"score_spread":0.2180590979721674,"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."}}