{"id":"W4389584780","doi":"10.17118/11143/20715","title":"Subject-specific active control of a stroke rehabilitation robot","year":2023,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rehabilitation; Stroke (engine); Physical medicine and rehabilitation; Robot; Control (management); Computer science; Subject (documents); Medicine; Artificial intelligence; Physical therapy; Engineering; Mechanical engineering; World Wide Web","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":[0.0004994484,0.0003581615,0.0002643217,0.0001965835,0.000157022,0.0004620119,0.0006485967,0.0003056973,0.003226104],"category_scores_gemma":[0.000808718,0.0001410667,0.0002749877,0.00008288227,0.000285677,0.0002386577,0.0006013491,0.0002050781,0.0008571322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009474516,"about_ca_system_score_gemma":0.0003007167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006696034,"about_ca_topic_score_gemma":0.0006392773,"domain_scores_codex":[0.9996893,0.00007522554,0.0000240027,0.00007594652,0.0001012987,0.00003428065],"domain_scores_gemma":[0.9996805,0.00008901284,0.00004771967,0.00005714806,0.00008891019,0.00003673391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001990653,0.0008849617,0.003893752,0.0006891129,0.0001834182,0.0007289309,0.001006876,0.05302821,0.6343992,0.0049175,0.00338391,0.2948936],"study_design_scores_gemma":[0.0004960194,0.0133134,0.03339695,0.0001486687,0.0003218465,0.001765533,0.0004139221,0.6040469,0.3007603,0.003932096,0.04119572,0.000208645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3353408,0.0004595641,0.640654,0.0001810447,0.0001825622,0.0006377422,0.0001477639,0.004730114,0.01766637],"genre_scores_gemma":[0.9507142,0.0001274759,0.039776,0.0001236663,0.0000416992,0.0002311138,0.0001441623,0.00009337741,0.008748274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003226104,"threshold_uncertainty_score":0.01079237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520014199110997,"score_gpt":0.2790236126516133,"score_spread":0.2638234706605033,"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."}}