{"id":"W6962971750","doi":"10.18910/84869","title":"Multi-Objective Optimization based 3D Walking of a Neuromuscular Driven Salamander Model in Simulation","year":2021,"lang":"en","type":"article","venue":"OUKA (Osaka University Knowledge Archive) (Osaka University)","topic":"Human Motion and Animation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Motion (physics); Salamander; Adaptation (eye); Motion capture; Motion control; Selection (genetic algorithm); Artificial neural network; Kinematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000101986,0.0002509604,0.0003183038,0.001068824,0.0001874701,0.00002195942,0.0002658663,0.0001399294,0.0001087554],"category_scores_gemma":[0.00004913083,0.0003598163,0.000179807,0.001046235,0.00009373153,0.0005338506,0.0001372906,0.0002928466,0.00002047571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003750739,"about_ca_system_score_gemma":0.0001692337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001396385,"about_ca_topic_score_gemma":0.0005139587,"domain_scores_codex":[0.9985968,0.0002846158,0.0002113201,0.0004287524,0.0001776157,0.0003009302],"domain_scores_gemma":[0.9990923,0.0001567112,0.00009043348,0.0002977414,0.0002325528,0.000130224],"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":[0.00005164024,0.0002144258,0.0009514813,0.000105238,0.00004414416,0.0001016575,0.002207267,0.9913211,0.00347272,0.0009073669,0.00003500607,0.0005879285],"study_design_scores_gemma":[0.002399495,0.00002711643,0.004708322,0.0001306433,0.00007124626,0.000001289165,0.0008844703,0.9898056,0.0004285625,0.00002903223,0.001195727,0.0003184499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0894547,0.00002534703,0.8771199,0.00002377166,0.0001063768,0.0002641212,0.00005814891,0.0002362561,0.03271138],"genre_scores_gemma":[0.9754228,0.00006158205,0.02269259,0.00001070937,0.00002392735,2.073685e-7,0.000167713,0.00003423402,0.001586245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8859681,"threshold_uncertainty_score":0.9998854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452737341256215,"score_gpt":0.2033452281649329,"score_spread":0.1888178547523707,"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."}}