{"id":"W4413757009","doi":"10.2139/ssrn.5407848","title":"Comparison of Regression Models for Predicting Lower-Limb Joint Angles During Stationary Cycling","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cycling; Joint (building); Regression; Regression analysis; Physical medicine and rehabilitation; Statistics; Mathematics; Medicine; Geography; Engineering; Structural engineering","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":[0.004225197,0.001347899,0.001125206,0.001041827,0.0003079888,0.0009563918,0.001013525,0.00113241,0.002250738],"category_scores_gemma":[0.01061647,0.0004444719,0.001273638,0.001103859,0.0001589687,0.000729292,0.0004180346,0.001063107,0.001176964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000426808,"about_ca_system_score_gemma":0.0007668618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02715126,"about_ca_topic_score_gemma":0.01111909,"domain_scores_codex":[0.9993147,0.0003512518,0.00005007074,0.0001513643,0.00006732628,0.00006542705],"domain_scores_gemma":[0.9916068,0.007183922,0.0002161842,0.000189927,0.0007157238,0.00008734273],"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":[0.002841105,0.0005868708,0.03231406,0.0003524996,0.0007585852,0.00008590517,0.000217731,0.7719697,0.003556421,0.00051873,0.002141202,0.1846572],"study_design_scores_gemma":[0.0000269427,0.0002333725,0.009427014,0.00002255258,0.00009076008,0.00001762311,0.00004700419,0.9891655,0.0005491424,0.0002138817,0.0001873938,0.00001886861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7606924,0.002662957,0.2287463,0.0004830226,0.0002391866,0.0001534987,0.002425106,0.001896898,0.00270054],"genre_scores_gemma":[0.9699821,0.0007509638,0.02351532,0.00005783978,0.00005183657,0.0001284008,0.002733062,0.0001923636,0.002588179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02715126,"threshold_uncertainty_score":0.05398643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433011743404742,"score_gpt":0.2680429777106637,"score_spread":0.2537128602766163,"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."}}