{"id":"W2046862998","doi":"10.1109/iembs.2011.6091710","title":"Fully-automated test of upper-extremity function","year":2011,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Joystick; Computer science; Test (biology); Physical medicine and rehabilitation; Component (thermodynamics); Rehabilitation; Artificial intelligence; Machine learning; Simulation; Physical therapy; Medicine","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":[0.0007916458,0.0005256748,0.0005938855,0.0008790122,0.0001164917,0.000405018,0.0005513143,0.0005223461,0.003463804],"category_scores_gemma":[0.004560965,0.0001006874,0.0002412116,0.00037598,0.000263503,0.0004921943,0.0004015773,0.0002688763,0.0008633091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398893,"about_ca_system_score_gemma":0.0002434326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007392949,"about_ca_topic_score_gemma":0.000929687,"domain_scores_codex":[0.9987679,0.0002621739,0.00009644183,0.0002063818,0.0006053307,0.00006180812],"domain_scores_gemma":[0.9984015,0.0005651422,0.0002646765,0.0001774981,0.0004815072,0.0001097108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004881332,0.002128775,0.3503821,0.0005971141,0.0006656967,0.0005357003,0.0004494319,0.00692362,0.1364534,0.0009878223,0.008107863,0.4878871],"study_design_scores_gemma":[0.0002104839,0.006230574,0.9539114,0.00005807422,0.00009230048,0.00335734,0.00006436757,0.01280216,0.01814937,0.0005288164,0.004504808,0.00009023658],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412984,0.001498297,0.0393327,0.0001419109,0.0001138845,0.0006181977,0.004491794,0.001170133,0.01133467],"genre_scores_gemma":[0.9780919,0.0002845827,0.01652276,0.0001146506,0.00008383632,0.0003207232,0.001934578,0.00004460623,0.002602429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003463804,"threshold_uncertainty_score":0.01158756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314022502617528,"score_gpt":0.2572204770918608,"score_spread":0.2340802520656855,"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."}}