{"id":"W2483544895","doi":"10.4018/978-1-4666-9740-9.ch015","title":"Activities and Evaluations for Technology-Based Upper Extremity Rehabilitation","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in medical technologies and clinical practice book series","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Autodesk (Canada); University of Toronto","funders":"","keywords":"Software deployment; Personalization; Flexibility (engineering); Rehabilitation; Computer science; Variety (cybernetics); BitTorrent tracker; Human–computer interaction; Suite; Quality function deployment; Participatory design; Psychological intervention; Multimedia; Process management; Psychology; Engineering; Operations management; Medicine; Software engineering; Physical therapy; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00153742,0.0003358136,0.0008898175,0.0004330212,0.0001368712,0.00002103572,0.0001483503,0.001694977,0.0001260722],"category_scores_gemma":[0.06322677,0.0002402771,0.0002171092,0.00007617918,0.004258228,0.0009703112,0.0001511807,0.001127822,0.000005175988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038698,"about_ca_system_score_gemma":0.0003820551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.417869e-7,"about_ca_topic_score_gemma":0.00001844911,"domain_scores_codex":[0.9974079,0.0000616795,0.0009959351,0.0007327383,0.0005274854,0.0002742556],"domain_scores_gemma":[0.9830459,0.01565269,0.0004609748,0.0004672791,0.0002630051,0.0001101578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009297528,0.0001276708,0.003397744,0.0004462823,0.00008080659,0.00002213326,0.00001853915,1.495783e-7,0.000004884745,0.1629753,0.0004129301,0.8315839],"study_design_scores_gemma":[0.001825697,0.00209674,0.0004340005,0.001866579,0.0002262608,0.00008436298,0.002202613,0.00002803029,0.0000138171,0.1465864,0.8443701,0.000265428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.004856894,0.2316443,0.00498003,0.5331851,0.001782186,0.006295425,0.0001911639,0.002048109,0.2150169],"genre_scores_gemma":[0.009337019,0.7140803,0.1813928,0.004252437,0.0004988679,0.001112663,0.00005814431,0.0001774864,0.08909026],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8439572,"threshold_uncertainty_score":0.999601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289299089734676,"score_gpt":0.4083926689077731,"score_spread":0.3854996780104263,"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."}}