{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005273602,0.0004752788,0.0003678444,0.0003291389,0.0002662305,0.0005759216,0.0003581122,0.000417569,0.001388501],"category_scores_gemma":[0.0028578,0.0002995438,0.0001497441,0.0002317761,0.0003160922,0.0002803168,0.0003191498,0.0005321491,0.0001955197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288444,"about_ca_system_score_gemma":0.000783326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01142416,"about_ca_topic_score_gemma":0.009899083,"domain_scores_codex":[0.9998635,0.00002913639,0.000006492731,0.00004271086,0.00003519373,0.00002300372],"domain_scores_gemma":[0.9992551,0.0003985593,0.0001031486,0.00004489679,0.0001488014,0.00004950786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002020984,0.0005531327,0.007816216,0.000167248,0.0001287236,0.0002853638,0.0003109912,0.8385189,0.0494155,0.008824292,0.0008622747,0.09109636],"study_design_scores_gemma":[0.00004213583,0.0002067598,0.004757413,0.00001021482,0.00001437375,0.00002943017,0.00001267347,0.9917333,0.001619524,0.001418311,0.00014467,0.00001112961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5617398,0.0002362492,0.4330266,0.0002803637,0.0001246925,0.00015602,0.0001418904,0.0004346378,0.003859774],"genre_scores_gemma":[0.9917354,0.00004726088,0.007389226,0.00001618369,0.000006601465,0.00004030885,0.00003307722,0.000007097944,0.0007246894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01142416,"threshold_uncertainty_score":0.02271533,"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."}}