{"id":"W7113900133","doi":"10.1145/3757376.3771379","title":"The Last Mile to Production Readiness: Physics-Based Motion Refinement for Video-Based Capture","year":2025,"lang":"","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":"","keywords":"Motion capture; Workflow; Motion (physics); Set (abstract data type); Morphing; Key (lock); Production (economics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002098655,0.0007904624,0.0005618613,0.0007564296,0.0007011928,0.001522795,0.001960817,0.001174844,0.003911965],"category_scores_gemma":[0.006555968,0.0007271157,0.0009059393,0.00039346,0.001510403,0.001812164,0.002911977,0.001934467,0.001242378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007041583,"about_ca_system_score_gemma":0.001026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004045064,"about_ca_topic_score_gemma":0.005561076,"domain_scores_codex":[0.9987541,0.0003810515,0.0000684276,0.0002020041,0.0005223882,0.00007183979],"domain_scores_gemma":[0.9981262,0.0008644316,0.0001310586,0.0005009652,0.0002718046,0.0001056377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003499246,0.0003022822,0.002247738,0.0009534911,0.0001562629,0.0006002014,0.00307017,0.2169085,0.1630941,0.1133092,0.009736281,0.4892718],"study_design_scores_gemma":[0.00005650672,0.0002103385,0.001440376,0.0002226528,0.00005714897,0.0006101963,0.0003295352,0.8690345,0.03719014,0.03871334,0.05202082,0.000114521],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003065829,0.0002066032,0.9941276,0.0001426977,0.00003034157,0.00007447133,0.00002751362,0.001096967,0.001227997],"genre_scores_gemma":[0.1317968,0.0005586683,0.8635394,0.0001631988,0.0000559953,0.0001539804,0.0002657368,0.0008332075,0.002633099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004045064,"threshold_uncertainty_score":0.01308686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375256622351777,"score_gpt":0.249003451494663,"score_spread":0.2352508852711452,"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."}}