{"id":"W4406901849","doi":"10.36227/techrxiv.173397962.28177284/v2","title":"CEINMS-RT: an open-source framework for the continuous neuro-mechanical model-based control of wearable robots","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Open source; Wearable computer; Computer science; Robot; Control (management); Control engineering; Human–computer interaction; Artificial intelligence; Engineering; Embedded system; Operating system; Software","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":[0.0009638563,0.002238202,0.001133479,0.0006465103,0.0004137926,0.001220219,0.004155492,0.002181694,0.01943864],"category_scores_gemma":[0.002760171,0.001022872,0.002318593,0.0003203193,0.0007959146,0.001057201,0.002671889,0.003033632,0.006229756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005902841,"about_ca_system_score_gemma":0.001447153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00504817,"about_ca_topic_score_gemma":0.006675887,"domain_scores_codex":[0.9994677,0.00007458778,0.00004394758,0.00012074,0.0002431235,0.00004988012],"domain_scores_gemma":[0.9994817,0.0002067846,0.00005729428,0.00008752287,0.0001084462,0.00005828001],"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":[0.0003368366,0.0002004236,0.001053015,0.001484397,0.000344801,0.0006349331,0.0002783758,0.782151,0.02121826,0.04028414,0.0291097,0.122904],"study_design_scores_gemma":[0.00008474084,0.00006509288,0.0001645705,0.00007334751,0.00002701203,0.0001145346,0.000009191169,0.9541283,0.00325119,0.00848505,0.03355799,0.00003903974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008211532,0.0002180653,0.9692835,0.00006415853,0.00009392126,0.00009650717,0.0005178924,0.0267844,0.002120312],"genre_scores_gemma":[0.1696063,0.001392671,0.791939,0.0004441665,0.0001827702,0.002154343,0.005432889,0.01651596,0.01233185],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01943864,"threshold_uncertainty_score":0.06502879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823235074951202,"score_gpt":0.3266033768937588,"score_spread":0.2983710261442468,"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."}}