{"id":"W3159174804","doi":"10.1101/2021.04.30.442053","title":"The Split-Belt Rimless Wheel","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Treadmill; Gait; Work (physics); Kinematics; Computer science; Ground reaction force; Simulation; Preferred walking speed; Mechanical energy; Energy (signal processing); Physical medicine and rehabilitation; Control theory (sociology); Engineering; Physics; Artificial intelligence; Mechanical engineering; Classical mechanics; Medicine; Physical therapy","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":[0.0001927247,0.0002282328,0.0002587459,0.0002099073,0.0001590937,0.0003217192,0.0006002431,0.0003388108,0.004200147],"category_scores_gemma":[0.0004593942,0.0001706922,0.0002565851,0.0001128791,0.0003781244,0.0003883028,0.0004968586,0.0001677712,0.000577612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704485,"about_ca_system_score_gemma":0.0002520889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147549,"about_ca_topic_score_gemma":0.00121085,"domain_scores_codex":[0.9999216,0.00001890277,0.000005717637,0.00002257723,0.00001783557,0.0000133509],"domain_scores_gemma":[0.9998307,0.00003220757,0.00002427763,0.00005148719,0.00003222567,0.00002907726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00249653,0.000722367,0.01540888,0.0006757801,0.000269244,0.001068823,0.0003905546,0.4346289,0.4060957,0.02672708,0.004614544,0.1069016],"study_design_scores_gemma":[0.0002440068,0.001370923,0.01118417,0.00006389073,0.00007639283,0.0002432965,0.0001233102,0.9373211,0.03316255,0.004385839,0.01176517,0.00005937339],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7588732,0.00011972,0.2332115,0.0001952535,0.00008372319,0.0001338863,0.000635814,0.0008596924,0.005887225],"genre_scores_gemma":[0.9686965,0.00006084239,0.02795119,0.00003910447,0.000004138044,0.00009504458,0.0002550097,0.00002661147,0.002871497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004200147,"threshold_uncertainty_score":0.01405096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00968068938828615,"score_gpt":0.1955517574718653,"score_spread":0.1858710680835791,"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."}}