{"id":"W2972817631","doi":"10.1177/1747493019873519","title":"Standardized measurement of quality of upper limb movement after stroke: Consensus-based core recommendations from the Second Stroke Recovery and Rehabilitation Roundtable","year":2019,"lang":"en","type":"article","venue":"International Journal of Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Weill Cornell Medical College; Universitätsspital Zürich; Universität Zürich; Universiti Teknikal Malaysia Melaka; University of East Anglia; Glasgow Caledonian University","keywords":"Physical medicine and rehabilitation; Rehabilitation; Medicine; Stroke (engine); Standardization; Pooling; Upper limb; Kinematics; Task (project management); Physical therapy; Core (optical fiber); Functional movement; Grip strength; Artificial intelligence; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001867378,0.0001749256,0.0006046715,0.0003091978,0.00003219633,0.00004631365,0.0001805289,0.00009628819,0.001289639],"category_scores_gemma":[0.001186781,0.0001266303,0.0005039117,0.00007521363,0.0001507076,0.0002479782,0.00004511544,0.0002913425,0.000003182198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121822,"about_ca_system_score_gemma":0.0004825268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001300871,"about_ca_topic_score_gemma":0.0001137396,"domain_scores_codex":[0.9964744,0.0002317418,0.001411787,0.0002064867,0.001526481,0.0001491423],"domain_scores_gemma":[0.9934899,0.002338282,0.001161016,0.0002758701,0.002634681,0.0001002176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01135956,0.0006423709,0.793027,0.0001873002,0.001891893,0.000003936493,0.0005617061,0.0002172438,0.1858925,0.0004080075,0.002269268,0.003539203],"study_design_scores_gemma":[0.01334105,0.003107188,0.931002,0.00126334,0.0002784738,0.00001645932,0.004377489,0.0002229982,0.02889481,0.00101829,0.01624345,0.0002344434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845003,0.0006334397,0.001326569,0.009058032,0.001374838,0.000473744,0.002141397,0.000006287916,0.0004853599],"genre_scores_gemma":[0.9883075,0.000105387,0.009077834,0.0006420253,0.0001552686,0.00001142597,0.00002943025,0.00001687314,0.001654244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1569977,"threshold_uncertainty_score":0.9996233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083533996996838,"score_gpt":0.3226946957664611,"score_spread":0.2918593557964927,"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."}}