{"id":"W2004681084","doi":"10.1016/j.jtbi.2007.06.004","title":"Ability of the planar spring–mass model to predict mechanical parameters in running humans","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Impulse (physics); Mechanics; Mathematics; Approximation error; STRIDE; Simulation; Geodesy; Statistics; Physics; Geology; Computer science; Classical mechanics","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":[0.0003824709,0.0003182625,0.0002942995,0.0002795455,0.0002061058,0.0003133621,0.0003677573,0.0007068568,0.0009321118],"category_scores_gemma":[0.002595001,0.0002635598,0.0003136739,0.0001546566,0.0002129202,0.0002431777,0.0002541016,0.0002490933,0.0003616496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310528,"about_ca_system_score_gemma":0.0003254396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005866195,"about_ca_topic_score_gemma":0.002277097,"domain_scores_codex":[0.9999291,0.0000279221,0.000004321141,0.00001739066,0.00001178165,0.000009554276],"domain_scores_gemma":[0.99954,0.0003149987,0.00003344127,0.0000449636,0.00004879323,0.00001790477],"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":[0.000261563,0.00007487633,0.01471659,0.0000287344,0.00007900344,0.00007076179,0.00005236665,0.95344,0.004480046,0.0006402963,0.0003223071,0.0258334],"study_design_scores_gemma":[0.00001006236,0.00007536322,0.005953657,0.000003235746,0.00001609708,0.00004957703,0.00001328455,0.9924296,0.0004854751,0.0008570199,0.00009931423,0.000007391299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854293,0.0002238796,0.1110497,0.000290238,0.00003876101,0.00002620153,0.0001687728,0.0002789643,0.002494207],"genre_scores_gemma":[0.9974442,0.00003976953,0.002044317,0.00001469179,0.000004832013,0.000009502743,0.00005921326,0.0000119064,0.0003715959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005866195,"threshold_uncertainty_score":0.01166409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681069268650699,"score_gpt":0.2531419941615413,"score_spread":0.2363313014750343,"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."}}