{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005145604,0.0009890189,0.0005716989,0.0006894932,0.0006826054,0.001272457,0.00156605,0.0008774888,0.06613886],"category_scores_gemma":[0.002575715,0.0004837624,0.0005098614,0.0003411023,0.0005411253,0.002017952,0.002809956,0.0009282774,0.009702972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003463526,"about_ca_system_score_gemma":0.0003834208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007498804,"about_ca_topic_score_gemma":0.001434662,"domain_scores_codex":[0.9995573,0.00005945126,0.00003740519,0.0001440105,0.0001549187,0.00004687288],"domain_scores_gemma":[0.99937,0.0001869781,0.00003670115,0.0001979203,0.00009356481,0.0001148117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00130437,0.0001971428,0.001862809,0.001634018,0.00007109356,0.0006129176,0.001446271,0.007418373,0.06906334,0.07331254,0.0811703,0.7619069],"study_design_scores_gemma":[0.0002122453,0.0002992896,0.001318494,0.0002090233,0.000043143,0.0009889088,0.0002317595,0.04053991,0.03123168,0.01392354,0.9109105,0.00009140483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01677028,0.001270926,0.908939,0.0006076079,0.0009058202,0.0005552637,0.002231162,0.02034975,0.04837016],"genre_scores_gemma":[0.2287818,0.002333114,0.6260813,0.0008223252,0.000271434,0.001249991,0.006502771,0.005622728,0.1283347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06613886,"threshold_uncertainty_score":0.2212566,"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."}}