{"id":"W2602965723","doi":"10.1093/brain/awx022","title":"Operationalizing compensation over time in neurodegenerative disease","year":2017,"lang":"en","type":"article","venue":"Brain","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Medical Research Council; National Institutes of Health; University College London Hospitals NHS Foundation Trust; Monash University; Assistance publique-Hôpitaux de Paris; Universiteit Leiden; Universität Ulm; National Institute for Health and Care Research; Cure Huntington's Disease Initiative; University College London; CHDI Foundation; Wellcome Trust; Wellcome","keywords":"Neurodegeneration; Neuroscience; Cognitive reserve; Disease; Psychology; Population; Cognition; Medicine; Pathology; Cognitive impairment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001171771,0.0001534091,0.0001271947,0.00008023279,0.0004755133,0.0003088929,0.0003807528,0.0000230681,0.0003332502],"category_scores_gemma":[0.002969024,0.0001542743,0.00004880993,0.00007092919,0.0001474875,0.0003801752,0.000139674,0.00008745128,0.0002600541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003083838,"about_ca_system_score_gemma":0.00009989733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001642839,"about_ca_topic_score_gemma":0.00002998294,"domain_scores_codex":[0.9984664,0.0003128512,0.0001886399,0.0005252212,0.0002872396,0.0002196994],"domain_scores_gemma":[0.9989835,0.0001929153,0.0001060946,0.0005421348,0.00003240372,0.0001429289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004188316,0.0001006805,0.01411752,0.00000511737,0.000001116406,0.00005885688,0.0001099423,0.002109346,0.9719753,0.008281111,0.002802236,0.0003968753],"study_design_scores_gemma":[0.0006707456,0.000024924,0.6110668,0.00001648353,0.000004247474,0.000001691539,0.000003278286,0.01882047,0.3671681,0.0009369475,0.001073241,0.0002130939],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992546,0.000015818,0.0001045471,0.004676796,0.0001692684,0.0003316884,0.00006303718,0.00003597764,0.002056903],"genre_scores_gemma":[0.9931817,0.000004149182,0.00009346871,0.004197881,0.0001148857,0.00004523879,0.00001426093,0.00002209653,0.002326296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6048073,"threshold_uncertainty_score":0.6291124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04534958736514275,"score_gpt":0.3122301597366099,"score_spread":0.2668805723714672,"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."}}