{"id":"W2997940695","doi":"10.1186/s12984-019-0633-6","title":"Development of 3D-printed myoelectric hand orthosis for patients with spinal cord injury","year":2019,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Tetraplegia; Rehabilitation; Physical medicine and rehabilitation; Spinal cord injury; Orthotics; Exoskeleton; Medicine; Thumb; Hand injury; Powered exoskeleton; Usability; Hand strength; Physical therapy; Grip strength; Wearable computer; Spinal cord; Computer science; Human–computer interaction; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007626485,0.00008842278,0.0001703862,0.000262504,0.00002938967,0.000009985857,0.00003416077,0.00001962876,0.000001192929],"category_scores_gemma":[0.00005570533,0.00007082144,0.00003774738,0.0001981353,0.00001461889,0.0001043394,0.000004497585,0.00008119643,7.530375e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002405314,"about_ca_system_score_gemma":0.00001180459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.430362e-7,"about_ca_topic_score_gemma":2.545467e-7,"domain_scores_codex":[0.9994137,0.000006232948,0.0002930606,0.00006362215,0.0001224329,0.000101004],"domain_scores_gemma":[0.9995391,0.00009584323,0.00009182654,0.00004779563,0.000194003,0.00003137614],"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":[0.004341317,0.0003609657,0.1102928,0.003374844,0.0007029506,8.15672e-7,0.002340265,0.0203472,0.1380455,0.0001486313,0.0003852443,0.7196595],"study_design_scores_gemma":[0.001185334,0.006816378,0.9834469,0.0002320208,0.00003110267,0.000002569354,0.00009213143,0.002704769,0.002656588,0.00001090426,0.002668181,0.0001531373],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912256,0.00006912434,0.00833919,0.00003015025,0.0001412309,0.000166739,0.000001069278,0.00001585703,0.00001102006],"genre_scores_gemma":[0.9793823,0.00002303482,0.02055323,0.000003866712,0.00001336957,0.000005970567,0.000001057855,0.00001373745,0.00000346625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8731541,"threshold_uncertainty_score":0.2888015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005030084488192191,"score_gpt":0.2112653497204901,"score_spread":0.2062352652322979,"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."}}