{"id":"W2082741927","doi":"10.1007/s00422-001-0295-9","title":"Computer simulation of the motoneuron pool-muscle complex. I. Input system and motoneuron pool","year":2002,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"ASTER","funders":"","keywords":"Conductance; Afterhyperpolarization; Biophysics; Membrane potential; Time constant; Chemistry; Electrophysiology; Depolarization; Capacitance; Membrane; Physics; Neuroscience; Biological system; Biology; Electrode; Engineering; Biochemistry","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":[0.0001695219,0.0002633121,0.0003946256,0.0002714554,0.0002866477,0.0004923184,0.0007533373,0.001047994,0.005956894],"category_scores_gemma":[0.001681526,0.0002469066,0.0003000646,0.0003924557,0.0004981704,0.0003950544,0.0004490821,0.0004344785,0.0003961193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005970772,"about_ca_system_score_gemma":0.0007400781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01665557,"about_ca_topic_score_gemma":0.007511217,"domain_scores_codex":[0.9999244,0.00002343656,0.000003842606,0.00001011462,0.00002223049,0.00001604413],"domain_scores_gemma":[0.9993588,0.0004709904,0.00003028624,0.00002910719,0.00007528548,0.00003557954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005134623,0.00001293059,0.0004928211,0.00002228723,0.000009019001,0.0000488995,0.00003395682,0.9941974,0.0004906254,0.002571195,0.0002911277,0.001778524],"study_design_scores_gemma":[0.00001008695,0.000008610354,0.0001770629,0.000002936465,0.000002461538,0.000009021396,0.000009007152,0.9985992,0.0001406822,0.0007830708,0.0002559475,0.000001981515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7795407,0.0005988727,0.1620956,0.0009395869,0.0001323584,0.0001054813,0.001418288,0.001030646,0.05413853],"genre_scores_gemma":[0.9898599,0.00009904385,0.00636209,0.00004655672,0.000007386765,0.00007588693,0.0002061896,0.00004499626,0.003298019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01665557,"threshold_uncertainty_score":0.03311723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350678472730017,"score_gpt":0.2163982347071821,"score_spread":0.1813303874341805,"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."}}