{"id":"W4402721967","doi":"10.1145/3670947.3670978","title":"A Data Visualization Tool for Patients and Healthcare Providers to Communicate during Inpatient Stroke Rehabilitation","year":2024,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Bruyère; McGill University; Carleton University","funders":"Universitas Brawijaya","keywords":"Visualization; Rehabilitation; Health care; Data visualization; Stroke (engine); Computer science; Medical emergency; Physical medicine and rehabilitation; Medicine; Physical therapy; Data mining; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008848969,0.001814882,0.0006855133,0.002009083,0.0009513938,0.003791922,0.001702306,0.001663493,0.01044743],"category_scores_gemma":[0.04045697,0.0006659853,0.0008922406,0.001127115,0.0006312161,0.004854256,0.003343741,0.001651452,0.001507536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006208491,"about_ca_system_score_gemma":0.001397507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004757724,"about_ca_topic_score_gemma":0.0006803037,"domain_scores_codex":[0.994976,0.003442909,0.0005003702,0.0003448243,0.0005426176,0.0001931859],"domain_scores_gemma":[0.9620216,0.03097902,0.001621058,0.002053005,0.002328065,0.000997298],"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":[0.004396629,0.001566753,0.01466002,0.007222526,0.0002518038,0.003150932,0.1178217,0.00705541,0.04586559,0.02799712,0.1030001,0.6670114],"study_design_scores_gemma":[0.002329837,0.004297372,0.02340204,0.009403976,0.0007063462,0.005741738,0.04158408,0.09732764,0.04806027,0.05977701,0.7063494,0.001020199],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1450935,0.001639582,0.7779566,0.008281411,0.0006610089,0.002757589,0.003559035,0.04140441,0.01864682],"genre_scores_gemma":[0.2788613,0.000771086,0.7087558,0.001116249,0.0001339519,0.002764735,0.00175777,0.001331173,0.004507977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01044743,"threshold_uncertainty_score":0.04679835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529647522082469,"score_gpt":0.3632514509037214,"score_spread":0.3279549756828967,"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."}}