{"id":"W4282830385","doi":"10.2196/34307","title":"Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review","year":2022,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"University of Toronto; Huazhong University of Science and Technology; National Natural Science Foundation of China","keywords":"Stroke (engine); Physical medicine and rehabilitation; Compensation (psychology); Medicine; Computer science; Psychology; Physical therapy; Engineering; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01595071,0.001740065,0.010185,0.01390747,0.0008488641,0.003852349,0.002821627,0.002649719,0.003474126],"category_scores_gemma":[0.08844516,0.001543712,0.008176103,0.01521338,0.001268779,0.003762438,0.001892124,0.001201657,0.0003185785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005850599,"about_ca_system_score_gemma":0.01521176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009629704,"about_ca_topic_score_gemma":0.02606956,"domain_scores_codex":[0.9782525,0.007494386,0.008956254,0.001289217,0.003593497,0.0004140518],"domain_scores_gemma":[0.9216684,0.05587981,0.01454621,0.001172974,0.006302476,0.0004301644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001142575,0.00001043164,0.001001578,0.975003,0.00725475,0.00006473176,0.0002236621,0.00005738495,0.00006179777,0.00008955426,0.0006168269,0.01550204],"study_design_scores_gemma":[0.0001684853,0.0001815212,0.004884116,0.9241573,0.06223799,0.0002942915,0.0004073973,0.0001024729,0.0001648631,0.0001573469,0.00720126,0.00004301785],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002497332,0.9949255,0.0002941096,0.0002987024,0.0001292918,0.0009457479,0.0006008149,0.00001499293,0.0002934635],"genre_scores_gemma":[0.04522767,0.9486369,0.001822185,0.0007005059,0.0001005853,0.002840382,0.0004822217,0.00001003514,0.0001795844],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01595071,"threshold_uncertainty_score":0.08435643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037627716572524,"score_gpt":0.4675678811156967,"score_spread":0.3638051094584444,"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."}}