{"id":"W1998489369","doi":"10.1007/s10586-015-0448-6","title":"Cloud-based rehabilitation and recovery prediction system for stroke patients","year":2015,"lang":"en","type":"article","venue":"Cluster Computing","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; University of Ottawa","funders":"","keywords":"Rehabilitation; Stroke (engine); Physical medicine and rehabilitation; Physical therapy; Medicine; Hemiparesis; Kinematics; Computer science; Test (biology); Surgery","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":[0.0004540142,0.0005680721,0.0008007945,0.001250139,0.0005653824,0.000711369,0.0007263882,0.0004615722,0.002960849],"category_scores_gemma":[0.001181321,0.0001683388,0.0003831762,0.001013554,0.00008410721,0.0005944289,0.0005639967,0.0004529419,0.0008756784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008112152,"about_ca_system_score_gemma":0.001190311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630878,"about_ca_topic_score_gemma":0.0170465,"domain_scores_codex":[0.9997688,0.00002309837,0.0000330926,0.00006862966,0.00005321665,0.00005306198],"domain_scores_gemma":[0.9993371,0.0001069907,0.00008767886,0.00007472157,0.0002092686,0.0001840807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00507645,0.00167978,0.4893502,0.000369707,0.0004492339,0.001656043,0.0002554663,0.04012485,0.008961984,0.001645891,0.07796407,0.3724664],"study_design_scores_gemma":[0.000218101,0.0005520129,0.1862492,0.000101821,0.0003650817,0.0007532086,0.0004454129,0.790702,0.008774891,0.002404496,0.009335939,0.00009775903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8870987,0.001893403,0.06481736,0.00274812,0.0006531096,0.0009520169,0.02237592,0.01030835,0.009152991],"genre_scores_gemma":[0.981102,0.000401242,0.01187069,0.0001632939,0.0001007223,0.0001265751,0.004862368,0.00003651385,0.001336574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01630878,"threshold_uncertainty_score":0.03242773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608409982322355,"score_gpt":0.2568216504819465,"score_spread":0.2407375506587229,"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."}}