{"id":"W2134137517","doi":"10.1007/s00221-004-2058-z","title":"Predictive control of body mass trajectory in a two-step sequence","year":2004,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Trajectory; Sequence (biology); Control (management); Control theory (sociology); Computer science; Artificial intelligence; Physics; Biology; Genetics","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":[0.002434666,0.0001340228,0.0002849298,0.0002618766,0.0002847354,0.000007227606,0.0002934207,0.000139459,0.0001217467],"category_scores_gemma":[0.0002307119,0.0001286481,0.00007230999,0.0004086919,0.0003174017,0.0001803557,0.00009753642,0.001000101,0.0001546256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008234115,"about_ca_system_score_gemma":0.0005185697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00175722,"about_ca_topic_score_gemma":0.0001828374,"domain_scores_codex":[0.9961568,0.001547203,0.0004936527,0.000369938,0.0006841302,0.0007482615],"domain_scores_gemma":[0.9986281,0.0006723281,0.0001018294,0.0003089057,0.0001396228,0.0001491846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004939649,0.0007498405,0.009412033,0.00008142841,0.00002274304,0.00002862504,0.004427935,0.00001032301,0.9788097,0.005104389,0.0007505362,0.0001085574],"study_design_scores_gemma":[0.07097907,0.004222098,0.7154473,0.003332018,0.00001625417,0.00001252624,0.1129336,0.005336641,0.07186757,0.0115612,0.003289719,0.00100199],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758821,0.0009818592,0.0009695814,0.0008246222,0.0002666957,0.002134942,0.00007421611,0.00005472341,0.01881132],"genre_scores_gemma":[0.9976322,0.00002325885,0.0004123736,0.0002465518,0.0001571364,0.0006408646,0.00002304617,0.0000247797,0.0008397633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9069421,"threshold_uncertainty_score":0.5246116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07595450788379947,"score_gpt":0.4878643396348123,"score_spread":0.4119098317510129,"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."}}