{"id":"W4413017055","doi":"10.2139/ssrn.5380812","title":"Application of Physiologically-Derived Spinal Loading Using a Six-Axis Joint Motion Simulator Part II: Simulating Cyclic 6DOF Gait and Sit-to-Stand Loading Profiles","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gait; Simulation; Motion simulator; Motion (physics); Computer science; Physical medicine and rehabilitation; Medicine; Artificial intelligence","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":[0.0003528042,0.0006931366,0.000464955,0.0004823402,0.0003063517,0.0005538437,0.0007386717,0.001067526,0.002546115],"category_scores_gemma":[0.001542566,0.0003457405,0.0005104958,0.0003698043,0.0002788467,0.0002405513,0.0004360664,0.0003739535,0.0004888004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370539,"about_ca_system_score_gemma":0.0008663933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008713369,"about_ca_topic_score_gemma":0.005439329,"domain_scores_codex":[0.9998268,0.00004114425,0.000020525,0.00002313443,0.00006588892,0.00002247542],"domain_scores_gemma":[0.9995828,0.0001774556,0.00003286524,0.00005963637,0.0001197054,0.0000273878],"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":[0.000508398,0.0003804977,0.004565073,0.0003007904,0.00006593521,0.000465214,0.0004633963,0.8832368,0.07845221,0.0006381323,0.0009458859,0.02997771],"study_design_scores_gemma":[0.0000603666,0.0004769514,0.00623934,0.00002330489,0.00002715896,0.0001217725,0.0001419539,0.9771463,0.01460985,0.000196417,0.0009320868,0.0000244154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8928376,0.0001102421,0.09588066,0.0001806444,0.00009449093,0.0004310303,0.001664249,0.001074514,0.007726607],"genre_scores_gemma":[0.9838582,0.0000793569,0.0143634,0.00002469842,0.000006789111,0.0001103965,0.0006022368,0.00008632318,0.0008686471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008713369,"threshold_uncertainty_score":0.01732528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153775489433115,"score_gpt":0.3080789750203553,"score_spread":0.2865412201260241,"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."}}