{"id":"W4328050883","doi":"10.1162/neco_a_01576","title":"Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects","year":2023,"lang":"en","type":"article","venue":"Neural Computation","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Sensory system; Feedback control; Control (management); Computer science; Mathematics; Cognitive science; Psychology; Artificial intelligence; Control theory (sociology); Neuroscience; Control engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002516296,0.00008027987,0.0001290593,0.00009478161,0.00010386,0.00003988089,0.00009927009,0.00002693931,0.000003927206],"category_scores_gemma":[0.000113061,0.00006325402,0.00002937009,0.0002616823,0.00003819858,0.0001090108,0.00002368973,0.0000911905,0.000008278111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008432502,"about_ca_system_score_gemma":0.000006707754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000461992,"about_ca_topic_score_gemma":0.00001758873,"domain_scores_codex":[0.998918,0.0003119256,0.0002126209,0.0001944094,0.0002272432,0.0001358248],"domain_scores_gemma":[0.999364,0.0004009085,0.0001038838,0.00007972962,0.00003023268,0.00002120802],"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":[0.00003578229,0.00003758711,0.0002917427,0.00003172854,0.000002090713,0.00001827309,0.00092061,0.02667988,0.9612035,0.008213049,0.00004236329,0.002523368],"study_design_scores_gemma":[0.001068765,0.0001139465,0.1348747,0.000006998717,0.000006250805,0.000007996097,0.0001630181,0.8574383,0.001620274,0.00461709,0.0000149883,0.00006771939],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995805,0.000006802134,0.002647298,0.0007819372,0.0000812052,0.0003735595,0.00001271995,0.00005720153,0.0002342436],"genre_scores_gemma":[0.9992869,0.000003187871,0.00003297768,0.0005998049,0.00003170046,0.000008677317,0.0000113227,0.000006776557,0.00001864864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9595832,"threshold_uncertainty_score":0.2579424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08493646164432998,"score_gpt":0.3135316390006809,"score_spread":0.2285951773563509,"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."}}