{"id":"W2008926781","doi":"10.1145/592642.592647","title":"Algorithmic issues in modeling motion","year":2002,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Human Motion and Animation","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Motion (physics); Representation (politics); Data science; Artificial intelligence; Management science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001213552,0.0003036108,0.0007746223,0.000323894,0.0000500314,0.00007141643,0.0003195665,0.0002199832,0.00006236266],"category_scores_gemma":[0.0001132993,0.0003192135,0.0001538782,0.000340628,0.000007736558,0.00008244147,0.00007221307,0.0004377674,0.0003692082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555335,"about_ca_system_score_gemma":0.000008404864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003233555,"about_ca_topic_score_gemma":0.0000130616,"domain_scores_codex":[0.9982486,0.0004734305,0.0006051744,0.0002591867,0.0001467695,0.0002668014],"domain_scores_gemma":[0.9993857,0.0001202643,0.0000719091,0.0003533202,0.00002807908,0.00004076542],"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":[1.754911e-8,0.000008853591,0.000004002208,0.002513363,0.00001094723,0.000003253153,0.00008512192,0.04098353,7.106139e-8,0.00001056086,0.0001152898,0.956265],"study_design_scores_gemma":[0.00007630033,0.000004553333,0.00002949299,0.004999369,0.00002217481,0.000006590831,0.000004660533,0.9143631,9.797127e-8,0.00005071628,0.08012625,0.0003166539],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000727463,0.9062025,0.09223779,0.000003757759,0.0004252295,0.0002240143,0.000005083013,0.000454845,0.0003740506],"genre_scores_gemma":[0.001875203,0.9955704,0.001903625,0.000002977483,0.0003388763,0.000005952186,0.0001396264,0.00008150961,0.00008182946],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9559484,"threshold_uncertainty_score":0.999926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0958107485910059,"score_gpt":0.3258276613768684,"score_spread":0.2300169127858624,"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."}}