{"id":"W2155535145","doi":"10.1109/icsmc.1991.169862","title":"A technique for animating natural behaviour in complex scenes","year":2002,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Structuring; Computer science; Relation (database); Motion (physics); Hierarchy; Set (abstract data type); Frame (networking); Computer graphics (images); Natural (archaeology); Artificial intelligence; Notation; Computer vision; Programming language; Mathematics; Data mining","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":[0.0004752691,0.0007521821,0.0005140557,0.0006679374,0.0009891584,0.0012537,0.001574795,0.0009558963,0.009495134],"category_scores_gemma":[0.0009677287,0.0007905497,0.0009281836,0.0005730672,0.001735735,0.0017111,0.001876915,0.001970936,0.002381041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003775962,"about_ca_system_score_gemma":0.0004046969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112364,"about_ca_topic_score_gemma":0.002253074,"domain_scores_codex":[0.9997212,0.00005757121,0.00001399722,0.00007157533,0.0001152548,0.00002046967],"domain_scores_gemma":[0.9997489,0.0001106005,0.0000210101,0.00007231103,0.00002255177,0.00002468875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001168219,0.00007979551,0.0003324001,0.000643772,0.00006866678,0.00046211,0.003097296,0.02724936,0.1345922,0.457354,0.01495271,0.3610508],"study_design_scores_gemma":[0.0001067205,0.000252628,0.0005944194,0.000221307,0.0001132159,0.001600795,0.0003713196,0.2491164,0.04240043,0.1693507,0.5357654,0.0001067665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001195145,0.0001332418,0.9932203,0.00008703074,0.00004992796,0.00006317061,0.00003247195,0.001291606,0.003927017],"genre_scores_gemma":[0.0267184,0.0003421797,0.9669054,0.00008769349,0.00003220002,0.0002402106,0.00008870341,0.0004335601,0.005151582],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009495134,"threshold_uncertainty_score":0.03176439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03865070993177396,"score_gpt":0.2571891491292951,"score_spread":0.2185384391975211,"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."}}