{"id":"W2096352851","doi":"10.1142/s0219843612500168","title":"EFFECTS OF CONSTRAINTS ON STANDING BALANCE CONTROL OF A BIPED WITH TOE-JOINTS","year":2012,"lang":"en","type":"article","venue":"International Journal of Humanoid Robotics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Control theory (sociology); Inverted pendulum; Torque; Computer science; Slipping; Work (physics); Constraint (computer-aided design); Balance (ability); Ankle; Ground reaction force; Joint (building); Kinematics; Double inverted pendulum; Sagittal plane; Control (management); Mathematics; Physics; Physical medicine and rehabilitation; Nonlinear system; Engineering; Structural 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002084808,0.0001263849,0.0003287265,0.0001989739,0.00001570913,0.00001370542,0.0002283553,0.00004495779,0.0000659266],"category_scores_gemma":[0.00008008119,0.0001000016,0.0001028465,0.00005635999,0.00008646359,0.0001572379,0.00001017705,0.0001746895,0.000004207041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009540611,"about_ca_system_score_gemma":0.00003446082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.218474e-7,"about_ca_topic_score_gemma":4.686637e-7,"domain_scores_codex":[0.9987372,0.00003628018,0.0005156986,0.00005079112,0.000499145,0.0001608462],"domain_scores_gemma":[0.9989522,0.0002017588,0.0003427759,0.0000794803,0.0003375778,0.00008616786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006748024,0.0006268291,0.01103739,0.0002210754,0.001825068,0.00008308268,0.0008520186,0.898536,0.06071319,0.01841236,0.0003474699,0.006670679],"study_design_scores_gemma":[0.09140522,0.005984718,0.192574,0.01068284,0.001756177,0.001806292,0.001069158,0.2832172,0.4060008,0.001929692,0.001170616,0.002403348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1735388,0.0006384124,0.8201012,0.0001922212,0.002423777,0.0002554455,0.00001938973,0.0000315375,0.002799243],"genre_scores_gemma":[0.9973184,0.00004828399,0.002290535,0.00005473519,0.0002392546,0.000001152747,0.000001053727,0.00001793085,0.00002869606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8237796,"threshold_uncertainty_score":0.4077946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006490818794316133,"score_gpt":0.220218377930335,"score_spread":0.2137275591360189,"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."}}