{"id":"W2112102514","doi":"10.1161/strokeaha.109.576678","title":"Is Health-Related Quality of Life Improving After Stroke?","year":2010,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Stroke (engine); Quality of life (healthcare); Quality (philosophy); Intensive care medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002000101,0.0002714542,0.0005624957,0.001207546,0.0006597919,0.001513642,0.0007810821,0.0006779527,0.001465266],"category_scores_gemma":[0.008903478,0.0001174957,0.00044112,0.003436278,0.0018423,0.000838598,0.0004519972,0.0008984379,0.0001507654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007586017,"about_ca_system_score_gemma":0.006334655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5449305,"about_ca_topic_score_gemma":0.5844802,"domain_scores_codex":[0.9987137,0.0002132361,0.00008909364,0.000192645,0.0004860369,0.0003054012],"domain_scores_gemma":[0.9963942,0.0006377764,0.001239297,0.0001151376,0.001174208,0.0004392625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002116059,0.00007312787,0.9262321,0.0005809388,0.000293462,0.00005712567,0.0005215178,0.0002875355,0.0001119913,0.0003825219,0.00307646,0.0681716],"study_design_scores_gemma":[0.00000442239,0.00003288317,0.9981101,0.0001017984,0.00005765801,0.0000274284,0.0003315446,0.0001428505,0.00002758521,0.0002049489,0.0009502815,0.000008552569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.890857,0.06745196,0.0006014089,0.02195622,0.0002182948,0.00008084553,0.005804858,0.00003348081,0.01299585],"genre_scores_gemma":[0.9929201,0.005580476,0.0001737057,0.0004883647,0.00005372076,0.000008935921,0.0006375903,0.000001834318,0.0001353016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5449305,"threshold_uncertainty_score":0.915499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138098785484987,"score_gpt":0.3163190499877351,"score_spread":0.2949380621328852,"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."}}