{"id":"W2770429290","doi":"10.7554/elife.31050","title":"Computational modeling of spinal circuits controlling limb coordination and gaits in quadrupeds","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Hindlimb; Gait; Neuroscience; Alternation (linguistics); Sensory system; Computer science; Biology; Anatomy; Physical medicine and rehabilitation; Medicine","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":[0.0001330426,0.0003180945,0.000475096,0.0003382304,0.0003755369,0.0006246956,0.0007389886,0.0008336052,0.00186246],"category_scores_gemma":[0.0005129948,0.0003731649,0.0005583836,0.0002160672,0.0004962809,0.0003884529,0.0004972379,0.0003399554,0.0002310132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005866102,"about_ca_system_score_gemma":0.0007237604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189106,"about_ca_topic_score_gemma":0.011032,"domain_scores_codex":[0.9999553,0.00001113774,0.000002881897,0.00001063332,0.000009160003,0.00001090402],"domain_scores_gemma":[0.9998475,0.00007840448,0.00002161509,0.00001070698,0.00001919396,0.00002252794],"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":[0.00001044614,0.000006904914,0.0003576071,0.000008880334,0.000009698008,0.00002430664,0.000009768331,0.9965658,0.0005080769,0.001529185,0.00007498734,0.0008943538],"study_design_scores_gemma":[0.000003326252,0.000003693562,0.00009922778,0.000001136778,0.000002117958,0.000003090649,0.000003649274,0.9990548,0.00004547205,0.0007081079,0.00007400161,0.000001269515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6585598,0.0004606307,0.3165982,0.000769065,0.00006459033,0.00008491372,0.0009255853,0.000535188,0.02200205],"genre_scores_gemma":[0.9766561,0.0001823885,0.01939051,0.00005889149,0.00001332644,0.0001538396,0.0002648666,0.00006370598,0.003216425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01189106,"threshold_uncertainty_score":0.02364373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057134152311977,"score_gpt":0.2521858658814974,"score_spread":0.2316145243583776,"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."}}