{"id":"W2608522076","doi":"10.1177/1545968317704903","title":"Robotic Characterization of Ipsilesional Motor Function in Subacute Stroke","year":2017,"lang":"en","type":"article","venue":"Neurorehabilitation and neural repair","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Hotchkiss Brain Institute; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates - Health Solutions; Heart and Stroke Foundation of Canada","keywords":"Physical medicine and rehabilitation; Stroke (engine); Rehabilitation; Psychology; Functional Independence Measure; Audiology; Medicine; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.0001889826,0.0001228718,0.0002723975,0.0002264063,0.0001099449,0.0000212171,0.00005080366,0.00008204292,0.00004599557],"category_scores_gemma":[0.0009422104,0.0001066469,0.0001662013,0.0000716683,0.0001835274,0.0003114181,0.00002927856,0.0001392126,0.000003961496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003021387,"about_ca_system_score_gemma":0.00004173518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001649477,"about_ca_topic_score_gemma":0.000007790986,"domain_scores_codex":[0.9988598,0.00008571682,0.0003861963,0.0002968623,0.0002377621,0.0001336272],"domain_scores_gemma":[0.999001,0.0002482134,0.0001973038,0.0003295579,0.0001329445,0.00009102738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006579307,0.0001556107,0.6565158,0.0002113132,0.00001184376,0.000004624862,0.0001477429,0.00001131762,0.3350562,0.0003209816,0.00002287561,0.006883668],"study_design_scores_gemma":[0.0011702,0.001161758,0.9894205,0.00007000299,0.00003135623,0.0000117602,0.00006491147,0.006852931,0.0008276493,0.00006151791,0.0002488908,0.00007854533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970523,0.00003191231,0.00005034695,0.001593161,0.0004869508,0.0004991113,0.00001225087,0.00005841893,0.0002155518],"genre_scores_gemma":[0.9985304,0.00004998504,0.0003398335,0.0002349873,0.00005953877,0.0000257819,0.00002376328,0.00001438525,0.0007212934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3342286,"threshold_uncertainty_score":0.4348933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940091035867763,"score_gpt":0.2792157436069014,"score_spread":0.2598148332482238,"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."}}