{"id":"W4386962066","doi":"10.3389/fnagi.2023.1232387","title":"Identifying prodromal symptoms at high specificity for Parkinson’s disease","year":2023,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Allergan; Genentech; H. Lundbeck A/S; Servier; Voyager Therapeutics; Denali Therapeutics; Neurocrine Biosciences; Avid Radiopharmaceuticals; Sanofi Genzyme; F. Hoffmann-La Roche; Biogen; Celgene; Verily Life Sciences; Teva Pharmaceutical Industries; Sanofi; GlaxoSmithKline; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; Michael J. Fox Foundation for Parkinson's Research","keywords":"Odds ratio; Medicine; Parkinson's disease; Internal medicine; Disease; REM sleep behavior disorder; Constipation; Population","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":[0.00156669,0.0005818324,0.0005704983,0.001386318,0.0003501597,0.0007804984,0.0003434997,0.0005644457,0.001865841],"category_scores_gemma":[0.004274393,0.0002285082,0.0004352593,0.0004648837,0.0006100071,0.0005572046,0.0007073685,0.0004893608,0.0003080698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108921,"about_ca_system_score_gemma":0.0003328101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078394,"about_ca_topic_score_gemma":0.001573195,"domain_scores_codex":[0.9990829,0.0002268127,0.0001320236,0.0002441345,0.0001867121,0.0001272744],"domain_scores_gemma":[0.9965185,0.0009012311,0.001659132,0.0001383745,0.0003805715,0.0004021825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001072027,0.00001383001,0.9972146,0.0000228062,0.00002940898,0.0001483745,0.0000366238,0.0000242564,0.0005875318,0.0000132329,0.00006013545,0.001741906],"study_design_scores_gemma":[0.000005208396,0.0001229486,0.9968054,0.00001994253,0.00003724512,0.002218789,0.000113823,0.0001196973,0.0003537961,0.00006262453,0.0001369399,0.000003536931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973506,0.00110396,0.0002942114,0.00009951528,0.00001502091,0.00001497105,0.0001109535,0.00001146441,0.0009992727],"genre_scores_gemma":[0.999464,0.0001127436,0.0002258889,0.00002218718,0.00001138401,0.000003208044,0.00009753611,0.000001570859,0.00006134992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001865841,"threshold_uncertainty_score":0.008285582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218399817711653,"score_gpt":0.2857125682410958,"score_spread":0.2535285700639793,"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."}}