{"id":"W1976578234","doi":"10.1152/jn.00944.2010","title":"Postural adjustments for online corrections of arm movements in standing humans","year":2011,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Physical medicine and rehabilitation; Kinematics; Leg muscle; Movement (music); Electromyography; Displacement (psychology); Psychology; Trajectory; Medicine; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000303083,0.00006714823,0.0001932729,0.0001543904,0.00003693206,0.000002618482,0.0001318678,0.00002407613,0.0000201519],"category_scores_gemma":[0.0002206217,0.00005361721,0.00007928293,0.00009615539,0.00003721736,0.0001124048,0.00001807388,0.0001156936,8.903036e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002108808,"about_ca_system_score_gemma":0.00002255077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001352466,"about_ca_topic_score_gemma":0.000004486058,"domain_scores_codex":[0.9992244,0.00007884955,0.0003770734,0.0001023776,0.00009150101,0.0001257506],"domain_scores_gemma":[0.9993474,0.0001145986,0.0003717322,0.00006297397,0.00007162168,0.00003164198],"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":[0.0004463774,0.000388025,0.0002339329,0.00000722916,0.000005347621,0.00001566229,0.0003007783,0.0001565568,0.9974052,0.0002241263,0.000003483926,0.0008133072],"study_design_scores_gemma":[0.003766551,0.006191414,0.9536635,0.00005396193,0.00002468678,0.00003513037,0.0003085877,0.003179742,0.02816175,0.004235002,0.0002457498,0.0001339118],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998648,0.000006505358,0.0002712684,0.00002447811,0.0008213357,0.0001267233,0.0000196598,0.000003196665,0.00007884634],"genre_scores_gemma":[0.999241,0.00004102154,0.0002623123,0.0003001912,0.00007804429,0.000002388373,8.608856e-7,0.000007190309,0.00006697568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9692434,"threshold_uncertainty_score":0.2186446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09968172532352246,"score_gpt":0.3062336616899364,"score_spread":0.2065519363664139,"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."}}