{"id":"W3092715507","doi":"10.1007/s11357-020-00273-2","title":"Quality of life after traumatic brain injury: a cross-sectional analysis uncovers age- and sex-related differences over the adult life span","year":2020,"lang":"en","type":"article","venue":"GeroScience","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre","funders":"Universität Zürich; Bundesministerium für Bildung und Forschung","keywords":"Traumatic brain injury; Medicine; Quality of life (healthcare); Cohort; Population; Cross-sectional study; Etiology; Demographics; Cohort study; Gerontology; Pediatrics; Internal medicine; Demography; Psychiatry; Pathology","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":[0.001152505,0.0002359749,0.0002838712,0.0008055238,0.0002544454,0.0005010224,0.0002372848,0.0003575358,0.0009108931],"category_scores_gemma":[0.002238192,0.0002106654,0.0005175149,0.0009221805,0.0002216714,0.0005644382,0.0005635282,0.0004982625,0.000208245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836682,"about_ca_system_score_gemma":0.0001912829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143698,"about_ca_topic_score_gemma":0.002311831,"domain_scores_codex":[0.9995773,0.0001328212,0.00005856775,0.00008555668,0.00008535197,0.00006034338],"domain_scores_gemma":[0.9985328,0.0002293113,0.0006953867,0.0001102561,0.0001981546,0.000234117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004102579,0.00002131636,0.9989393,0.000005768526,0.00005987228,0.00001308353,0.00004427687,0.00001239454,0.00004046145,0.000004279982,0.00003473648,0.0007834549],"study_design_scores_gemma":[0.000001148512,0.00007229055,0.9996496,0.000002563382,0.00001375938,0.00007827429,0.00007777583,0.00003344455,0.00001030057,0.00000484662,0.00005454737,0.000001253892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987108,0.0004617489,0.00007212862,0.00003210486,0.000007135907,0.000006485097,0.0004735074,0.000002253199,0.0002339766],"genre_scores_gemma":[0.9990131,0.0001955806,0.00007216752,0.00002266332,0.000007595998,0.000009207986,0.0005987849,0.00000122438,0.00007961552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002143698,"threshold_uncertainty_score":0.006095052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1183493011609435,"score_gpt":0.3872330238715608,"score_spread":0.2688837227106173,"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."}}