{"id":"W2159111005","doi":"10.1109/ca.1994.324010","title":"A multilevel approach to surface response in dynamically deformable models","year":2002,"lang":"en","type":"article","venue":"","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discretization; Representation (politics); Flexibility (engineering); Surface (topology); Object (grammar); Computer science; Displacement (psychology); Stability (learning theory); Stiffness; Simple (philosophy); Point (geometry); Artificial intelligence; Computer vision; Algorithm; Mathematics; Mathematical analysis; Geometry; Structural engineering; Engineering","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":[0.000382221,0.0004152882,0.0006206107,0.0006248876,0.0004625057,0.0008928368,0.001160566,0.001002764,0.002561061],"category_scores_gemma":[0.001208319,0.0003902138,0.0008373472,0.0004844031,0.0007120649,0.0008527052,0.001595475,0.001311666,0.0006175802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00069604,"about_ca_system_score_gemma":0.0004363094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003979797,"about_ca_topic_score_gemma":0.003872905,"domain_scores_codex":[0.9996637,0.00008582445,0.00001589603,0.00004492793,0.0001557662,0.00003397861],"domain_scores_gemma":[0.9996889,0.0001017438,0.00003992229,0.0000753092,0.00006285901,0.00003132123],"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":[0.00003077888,0.00002641913,0.000312354,0.00007633764,0.00003496099,0.00009472997,0.0002005483,0.7484289,0.02087276,0.1876557,0.001430817,0.04083572],"study_design_scores_gemma":[0.000004030502,0.00001013558,0.00005643885,0.000006208508,0.000003358963,0.00001173375,0.000008826383,0.9784908,0.0009049261,0.01779244,0.002704149,0.00000703555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005491167,0.0001848626,0.991012,0.0001290715,0.00002342664,0.00001540061,0.00005070685,0.000199413,0.002893989],"genre_scores_gemma":[0.4550559,0.001026959,0.5329168,0.0001775236,0.0001091977,0.0002827255,0.0002304714,0.0004186369,0.009781798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003979797,"threshold_uncertainty_score":0.008567631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738543284657423,"score_gpt":0.1861125110797244,"score_spread":0.1687270782331502,"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."}}