{"id":"W3036033141","doi":"10.3233/jpd-202029","title":"Understanding the Lexicon of Fatigue in Parkinson’s Disease","year":2020,"lang":"en","type":"article","venue":"Journal of Parkinson s Disease","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"H. Lundbeck A/S; ACADIA Pharmaceuticals; Adamas Pharmaceuticals; Sunovion; Michael J. Fox Foundation for Parkinson's Research","keywords":"Lexicon; Parkinson's disease; Psychology; Disease; Linguistics; Medicine; Natural language processing; Computer science; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003521446,0.0002923452,0.0006157136,0.0002357138,0.00008774336,0.00003913358,0.0002746994,0.00006029293,0.0002087649],"category_scores_gemma":[0.0004460691,0.0001984066,0.0005136282,0.000473341,0.0001261922,0.0002265397,0.00006376453,0.0003375524,0.00001240401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016806,"about_ca_system_score_gemma":0.0008324352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009982262,"about_ca_topic_score_gemma":0.000005140067,"domain_scores_codex":[0.9974373,0.0001877315,0.000838524,0.0003100136,0.0008711493,0.0003552807],"domain_scores_gemma":[0.997169,0.000126508,0.0006445482,0.00033658,0.0001377119,0.001585669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0134136,0.002004273,0.9665967,0.0006009628,0.000560256,0.006047711,0.001101116,0.0007638236,0.0008558928,0.002585707,0.003225832,0.002244126],"study_design_scores_gemma":[0.007838261,0.0006439633,0.9338864,0.0008118663,0.0012948,0.00002867062,0.001116674,0.002895023,0.0004569234,0.004657172,0.04606825,0.0003020082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757086,0.005916985,0.004366221,0.01238586,0.0003063629,0.0006564616,0.0001313733,0.00002829147,0.0004998299],"genre_scores_gemma":[0.9972454,0.0005916916,0.0002450477,0.001535914,0.0002846543,0.00001421955,0.00001226413,0.00004026875,0.00003048349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04284242,"threshold_uncertainty_score":0.8090788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284532836868665,"score_gpt":0.3142971772184053,"score_spread":0.1858438935315388,"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."}}