{"id":"W3155071601","doi":"10.1101/2021.04.14.439866","title":"Soft tissue deformations explain most of the mechanical work variations of human walking","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissipative system; Work (physics); Dissipation; Pendulum; Mechanics; Collision; Mechanical energy; Ground reaction force; Soft tissue; Physics; Control theory (sociology); Classical mechanics; Computer science; Thermodynamics; Kinematics; Power (physics); Medicine","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":[0.0003348942,0.0005698101,0.0003617854,0.0005689776,0.0002046275,0.0004299683,0.0002613316,0.0004363371,0.00164932],"category_scores_gemma":[0.001398567,0.000509973,0.0003887952,0.0002984162,0.0003551641,0.0003507939,0.0003709005,0.0002322723,0.0004265391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001513,"about_ca_system_score_gemma":0.00009867367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008917413,"about_ca_topic_score_gemma":0.0009679542,"domain_scores_codex":[0.9998956,0.00002213558,0.000007963575,0.00004062951,0.00001871213,0.00001495923],"domain_scores_gemma":[0.9996518,0.000148621,0.00008607867,0.00006225242,0.00002881142,0.00002246201],"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":[0.00112415,0.0003288505,0.3927025,0.0005048555,0.0005430724,0.000823875,0.0006585977,0.07475301,0.443482,0.001162849,0.0009461226,0.08297019],"study_design_scores_gemma":[0.0000236277,0.0003093271,0.8324443,0.00003121981,0.0000850974,0.0008184194,0.0001591982,0.1545348,0.008954151,0.002154061,0.0004464334,0.00003949264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789676,0.0002893487,0.01973886,0.00005699902,0.000008440011,0.00002623226,0.0001919848,0.00008438615,0.0006361117],"genre_scores_gemma":[0.9985009,0.00004743243,0.001169914,0.000009998094,0.000002947938,0.000008938913,0.00008432703,0.00001298615,0.0001625217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00164932,"threshold_uncertainty_score":0.005517542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427332549502208,"score_gpt":0.2104877904772743,"score_spread":0.1962144649822523,"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."}}