{"id":"W4401334378","doi":"10.1002/dad2.12625","title":"Profiling people with Parkinson's disease at risk of cognitive decline: Insights from PPMI and ICICLE‐PD data","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Newcastle Biomedical Research Centre; Avid Radiopharmaceuticals; National Health and Medical Research Council; Allergan; NIHR Cambridge Biomedical Research Centre; Sun Pharma; H. Lundbeck A/S; Servier; Newcastle upon Tyne Hospitals NHS Foundation Trust; Innovative Medicines Initiative; Newcastle University; National Institute for Health and Care Research; Parkinson's UK; Voyager Therapeutics; Bristol-Myers Squibb; Aligning Science Across Parkinson’s; Neurocrine Biosciences; Intercept Pharmaceuticals; Weston Brain Institute; UCB; AbbVie; Medical Research Council; Department of Health and Social Care; Teva Pharmaceutical Industries; Verily Life Sciences; Amathus Therapeutics; Roche; Sanofi; Genentech; Weston Family Foundation; GlaxoSmithKline; Research Councils UK; Merck; Celgene; Pfizer; Biogen; Cerevel Therapeutics; Australian Government; UK Research and Innovation; Eli Lilly and Company","keywords":"Parkinson's disease; Profiling (computer programming); Cognitive decline; Cognition; Cognitive impairment; Medicine; Disease; Psychology; Neuroscience; Internal medicine; Dementia; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001642022,0.0003613098,0.0005940727,0.002502749,0.0004540786,0.001247977,0.0007827847,0.0005881307,0.001391743],"category_scores_gemma":[0.007860112,0.0001523449,0.0007903705,0.002875711,0.0002169077,0.0005774229,0.001236882,0.0004801167,0.0005872214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006703796,"about_ca_system_score_gemma":0.0007254242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01581112,"about_ca_topic_score_gemma":0.02345831,"domain_scores_codex":[0.9989769,0.0002024739,0.0002198358,0.0003006467,0.0002078895,0.00009216461],"domain_scores_gemma":[0.9960749,0.0006815776,0.001373589,0.0007903501,0.0007836886,0.0002958728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008001042,0.00005352683,0.9695547,0.000455768,0.0005742693,0.0001664862,0.0001734451,0.0004850159,0.0005151927,0.0001841936,0.01043776,0.0165994],"study_design_scores_gemma":[0.00004646768,0.0000930632,0.9903855,0.0001509434,0.0002155538,0.000432089,0.0001677117,0.0008792467,0.0003519309,0.0002390436,0.007020299,0.00001809217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6804368,0.001769615,0.001036135,0.0007428657,0.00003684777,0.0001979099,0.3122337,0.0001388349,0.003407283],"genre_scores_gemma":[0.6871316,0.0004948824,0.002452375,0.0003048274,0.00004393567,0.0003169217,0.3086533,0.00002037509,0.0005818091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01581112,"threshold_uncertainty_score":0.03143817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113102531734923,"score_gpt":0.3213249470686972,"score_spread":0.290193921751348,"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."}}