{"id":"W7009662317","doi":"","title":"Feature-based Control of Physics-based Character Animation","year":2011,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Controller (irrigation); Traverse; Animation; Character animation; Control (management); Motion control; Focus (optics); Motion capture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002655618,0.0003530838,0.0002941587,0.0002375687,0.0002596497,0.0005692939,0.0005885423,0.0002603783,0.002023562],"category_scores_gemma":[0.0007073416,0.0002160697,0.0003147082,0.0001271591,0.0005134913,0.0004549896,0.0007609059,0.0004934531,0.0002886367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719761,"about_ca_system_score_gemma":0.0002163499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008359816,"about_ca_topic_score_gemma":0.001047091,"domain_scores_codex":[0.999879,0.00001830006,0.000006419147,0.0000295576,0.0000500768,0.00001667132],"domain_scores_gemma":[0.9997852,0.00007414836,0.00004153867,0.00003145462,0.00004805767,0.00001953077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001372133,0.00008968909,0.0005917748,0.0001655521,0.00004181823,0.0001057144,0.0001947148,0.7860822,0.09613571,0.0344586,0.001305873,0.08069116],"study_design_scores_gemma":[0.00001117411,0.00006054512,0.0002213363,0.000006847428,0.000006997153,0.00001706869,0.000006728364,0.9884,0.004888112,0.004115335,0.002258239,0.000007660707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05075068,0.0001203239,0.9392088,0.00007735812,0.00006565981,0.00005557557,0.0000408161,0.001136175,0.008544585],"genre_scores_gemma":[0.9270773,0.0001219656,0.06891317,0.0000332759,0.00002604265,0.0001083098,0.00006473794,0.0001172542,0.003537848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002023562,"threshold_uncertainty_score":0.006769419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429380613530144,"score_gpt":0.2603785602667694,"score_spread":0.2460847541314679,"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."}}