{"id":"W4387959484","doi":"10.3390/s23218719","title":"Acceleration-Based Estimation of Vertical Ground Reaction Forces during Running: A Comparison of Methods across Running Speeds, Surfaces, and Foot Strike Patterns","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; American College of Sports Medicine","keywords":"Ground reaction force; Accelerometer; Repeatability; Acceleration; Force platform; Reliability (semiconductor); Simulation; Center of mass (relativistic); Geodesy; Computer science; Mathematics; Statistics; Mechanics; Geology; Kinematics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005841988,0.001043372,0.0009370892,0.001802629,0.0002704093,0.0008767295,0.0007735681,0.0009278975,0.00102144],"category_scores_gemma":[0.013787,0.0004302264,0.0007261113,0.0009012582,0.0002658686,0.0008916036,0.0007666247,0.0003865355,0.0004740009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208855,"about_ca_system_score_gemma":0.0003336116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305292,"about_ca_topic_score_gemma":0.005640839,"domain_scores_codex":[0.9962806,0.001481169,0.000361205,0.0007343398,0.001008877,0.0001337741],"domain_scores_gemma":[0.9920515,0.004364249,0.0007857676,0.0005035453,0.002149081,0.0001458648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004509193,0.0003767448,0.2662911,0.001869544,0.002745598,0.00008722887,0.001585561,0.006192323,0.04082626,0.0003250355,0.0009293265,0.6742622],"study_design_scores_gemma":[0.0003913251,0.003348159,0.8950021,0.000438789,0.001271405,0.001153956,0.00129461,0.07215504,0.02013488,0.0008941586,0.003633,0.0002826612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7539747,0.004950032,0.2363987,0.000150489,0.0002374987,0.0003832784,0.0008980407,0.0007102196,0.002297016],"genre_scores_gemma":[0.8777918,0.001692255,0.1177655,0.0001066065,0.00007708516,0.0004435615,0.0007327914,0.0001781531,0.001212214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005841988,"threshold_uncertainty_score":0.03089577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05707705113625679,"score_gpt":0.3555025537983081,"score_spread":0.2984255026620514,"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."}}