{"id":"W2127586673","doi":"10.1145/1015706.1015740","title":"Motion doodles","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sketch; Computer science; Motion (physics); Character (mathematics); Set (abstract data type); Process (computing); Cursive; Character animation; Parameterized complexity; Sequence (biology); Computer graphics (images); Parsing; Motion capture; Artificial intelligence; Animation; Computer vision; Programming language; Computer animation; Algorithm; Mathematics; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.00004103221,0.00008302958,0.00005646694,0.0001597416,0.000106939,0.00002275933,0.00008407156,0.00006369418,0.000109066],"category_scores_gemma":[0.000004243124,0.00008845501,0.00006363441,0.0002260936,0.00002110321,0.0001281609,4.882659e-7,0.0001593129,0.0001506067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003456567,"about_ca_system_score_gemma":0.000004531914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004109203,"about_ca_topic_score_gemma":0.0000434823,"domain_scores_codex":[0.9995955,0.000006624945,0.0001061283,0.00008553041,0.0001033193,0.0001028813],"domain_scores_gemma":[0.9997181,0.00001208099,0.000008573777,0.000198969,0.00001937379,0.00004295868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001432056,0.0004110224,0.00007738401,0.0001311983,0.0001291223,0.000006916196,0.001490325,0.8105039,0.00959216,0.04844077,0.0002994458,0.1289034],"study_design_scores_gemma":[0.01115557,0.001121965,0.07780312,0.0007235367,0.000416187,0.0001382898,0.001450853,0.05337624,0.2239094,0.5784518,0.04755837,0.003894667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1109071,0.00002808404,0.8864738,0.0004029456,0.0002844544,0.00008015167,0.000009096228,0.0006168608,0.00119755],"genre_scores_gemma":[0.9979916,0.0001529055,0.001643,0.0001186987,0.00002587619,0.00001104519,0.000007207552,0.00001777076,0.00003186311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8870845,"threshold_uncertainty_score":0.3607091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776686389643171,"score_gpt":0.2208184657511479,"score_spread":0.2030516018547162,"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."}}