{"id":"W2137733965","doi":"10.1016/j.gaitpost.2011.12.009","title":"Online control of anticipated postural adjustments in step initiation: Evidence from behavioral and computational approaches","year":2012,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre hospitalier universitaire de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales","keywords":"Perturbation (astronomy); Feed forward; Computer science; Control theory (sociology); Physical medicine and rehabilitation; Motor control; Simulation; Psychology; Control (management); Control engineering; Physics; Artificial intelligence; Neuroscience; Medicine; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004998113,0.0002859454,0.0002998309,0.0003245497,0.0001524975,0.0009756962,0.000376035,0.0004845666,0.001443438],"category_scores_gemma":[0.003865588,0.0004410246,0.0002629915,0.0002460606,0.0004499084,0.000719472,0.0004400063,0.0005371937,0.0002543729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002400386,"about_ca_system_score_gemma":0.0003327045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635451,"about_ca_topic_score_gemma":0.001202955,"domain_scores_codex":[0.9997639,0.00005729083,0.00001451188,0.0000725732,0.00005730034,0.0000344038],"domain_scores_gemma":[0.9981475,0.001078273,0.0003117178,0.0002711735,0.0001150068,0.0000762622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002269339,0.001792938,0.1070976,0.0006023393,0.000962028,0.0003905806,0.0007782186,0.09896541,0.460326,0.02366052,0.001753323,0.3014016],"study_design_scores_gemma":[0.0001523031,0.0003887756,0.6746266,0.00004720354,0.0001785641,0.0003163188,0.0001477065,0.2744134,0.02316956,0.02515668,0.001322284,0.00008042928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397039,0.0003603462,0.05210645,0.0002674547,0.00003981826,0.00002474598,0.0002921316,0.0002269166,0.006978209],"genre_scores_gemma":[0.9962388,0.0001168389,0.003133548,0.00003903083,0.000008629932,0.00001370542,0.0001036304,0.00003122017,0.0003144804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001635451,"threshold_uncertainty_score":0.004828811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1332609498813344,"score_gpt":0.3137418080456581,"score_spread":0.1804808581643237,"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."}}