{"id":"W4206614334","doi":"10.1101/2022.01.10.21267840","title":"Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Research Canada; University of Toronto","funders":"National Health and Medical Research Council; NSW Ministry of Health; Medical Research Council; National Institutes of Health; Australian Schizophrenia Research Bank; Ramsay Health Care; Deutsche Forschungsgemeinschaft; UK Research and Innovation; Office of Health and Medical Research; European Commission; Pratt Foundation; Sylvia and Charles Viertel Charitable Foundation","keywords":"Medicine; Ageing; Schizophrenia (object-oriented programming); Aging brain; Antipsychotic; Internal medicine; Magnetic resonance imaging; Brain aging; Brain size; Cognitive decline; Psychiatry; Disease; Dementia; Radiology","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001778146,0.0006131339,0.0006986891,0.0004186096,0.0006340759,0.000297379,0.002416485,0.0002280918,0.001231067],"category_scores_gemma":[0.03592463,0.0005387804,0.0003156894,0.0006098038,0.0005202053,0.0003518989,0.005291116,0.002823714,0.0001682345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919737,"about_ca_system_score_gemma":0.0003209646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143151,"about_ca_topic_score_gemma":0.001400211,"domain_scores_codex":[0.9933866,0.001464918,0.0008398713,0.002128639,0.001621125,0.0005588753],"domain_scores_gemma":[0.9743161,0.02357776,0.0005423095,0.001368398,0.00008585841,0.0001095828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00554643,0.0009827944,0.5831273,0.0002971414,0.0008443265,0.005491055,0.008139023,0.0271531,0.313334,0.006089657,0.02945111,0.01954401],"study_design_scores_gemma":[0.002291656,0.0001329371,0.8975212,0.0009854545,0.0001203194,0.000100732,0.0002583187,0.01154836,0.02226701,0.03707637,0.02590708,0.001790553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381713,0.0009331473,0.0006196684,0.05005879,0.007984995,0.0009322239,0.0001889911,0.0003349097,0.0007759923],"genre_scores_gemma":[0.9922225,0.0002830625,0.0003451749,0.004913521,0.0008227805,0.0007158302,0.00002175672,0.00009692878,0.000578417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3143939,"threshold_uncertainty_score":0.9997064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0466936635643152,"score_gpt":0.291300638520056,"score_spread":0.2446069749557408,"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."}}