{"id":"W4303986165","doi":"10.1111/ger.12660","title":"Investigating oral health‐related quality of life in patients with ischaemic stroke in China","year":2022,"lang":"en","type":"article","venue":"Gerodontology","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jiangsu Commission of Health","keywords":"Medicine; Modified Rankin Scale; Quality of life (healthcare); Stroke (engine); Montreal Cognitive Assessment; Structural equation modeling; Cross-sectional study; Cognition; Gerontology; Neurology; Physical therapy; Cognitive impairment; Psychiatry; Ischemic stroke; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006818285,0.00009054379,0.0005804343,0.0002751146,0.00003728253,0.000001125905,0.00006050824,0.00005920899,0.0001539809],"category_scores_gemma":[0.0007117755,0.00007916035,0.00004567336,0.0003335084,0.0001105889,0.00003602378,0.00004679237,0.0003884355,0.000001795153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00020689,"about_ca_system_score_gemma":0.0003863611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003314559,"about_ca_topic_score_gemma":0.002273677,"domain_scores_codex":[0.9979893,0.0006388174,0.0007065747,0.000215975,0.000217439,0.0002318698],"domain_scores_gemma":[0.9992216,0.0002047286,0.0002802517,0.0001700971,0.00003234368,0.00009094974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003745501,0.0002710448,0.9954883,0.0001153488,0.00001960434,0.000001886451,0.002045634,0.0001828894,0.00007258183,0.0001402967,0.0001158665,0.001171948],"study_design_scores_gemma":[0.005377476,0.001040777,0.9926162,0.00003896594,0.000003567315,0.00000371119,0.0006534982,0.00006491113,0.000004494794,0.00006364209,0.00006813395,0.00006457408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964806,0.0002559723,0.000005528463,0.002313271,0.0001707305,0.0004199513,0.0000204311,0.00001740471,0.0003161227],"genre_scores_gemma":[0.998394,0.000003602347,0.0007326261,0.0006754357,0.000006497879,0.00002784854,0.00005414408,0.000009865242,0.00009605224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005002926,"threshold_uncertainty_score":0.5010644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054927282813677,"score_gpt":0.3075309314568064,"score_spread":0.2769816586286696,"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."}}