{"id":"W4226502951","doi":"10.1038/s41598-022-08755-3","title":"Characterizing the performance of human leg external force control","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnitude (astronomy); Control theory (sociology); Computer science; Position (finance); Force platform; Contact force; Ground reaction force; Simulation; Control (management); Physics; Kinematics; Artificial intelligence; Classical mechanics","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":[0.0006704645,0.0003408548,0.0002398167,0.0002850099,0.00008684984,0.000346912,0.0002080479,0.0003674641,0.0007925066],"category_scores_gemma":[0.003843646,0.0001072094,0.0001590843,0.0001448852,0.0002566707,0.000212861,0.0002732526,0.0001891035,0.0001655966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162956,"about_ca_system_score_gemma":0.0001334022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075223,"about_ca_topic_score_gemma":0.0006740193,"domain_scores_codex":[0.9997477,0.00006489116,0.00002408555,0.00007798689,0.00005274442,0.00003255088],"domain_scores_gemma":[0.9990522,0.0005423571,0.0001217356,0.0001082047,0.0001110193,0.00006451558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001282462,0.0003383748,0.07426009,0.000350802,0.0002298425,0.000410506,0.000686507,0.03706053,0.827576,0.0005160672,0.0002491778,0.05703964],"study_design_scores_gemma":[0.00006920952,0.004983554,0.5936585,0.00003941466,0.0001034533,0.0009716694,0.000245635,0.2414881,0.1562029,0.001358266,0.0007943258,0.00008501882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884095,0.0000635079,0.01103834,0.0000190321,0.000003347086,0.0000167893,0.0001092114,0.00006275946,0.0002775107],"genre_scores_gemma":[0.9987001,0.00001912697,0.001066589,0.000006407642,0.000001837204,0.000009718297,0.00009274649,0.000006923531,0.00009651488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001075223,"threshold_uncertainty_score":0.003545761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009286210254038113,"score_gpt":0.2089354224744054,"score_spread":0.1996492122203672,"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."}}