{"id":"W2981495513","doi":"10.1002/mds.27888","title":"Blood Biomarkers With Parkinson's Disease Clusters and Prognosis: The Oxford Discovery Cohort","year":2019,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Parkinson's UK","keywords":"Biomarker; Interquartile range; Internal medicine; Cohort; Medicine; Oncology; Disease; Prospective cohort study; C-reactive protein; Biomarker discovery; Apolipoprotein B; Biology; Cholesterol; Inflammation; Proteomics","routes":{"ca_aff":false,"ca_fund":false,"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":[0.002066612,0.0007396244,0.0009395615,0.0006553015,0.0007348389,0.0009696443,0.0006505517,0.0006099109,0.00153294],"category_scores_gemma":[0.004654182,0.0005014871,0.001014776,0.0008653323,0.0003586467,0.0003731791,0.001099533,0.0009557834,0.000200954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004657602,"about_ca_system_score_gemma":0.0005403313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092905,"about_ca_topic_score_gemma":0.01560718,"domain_scores_codex":[0.9987445,0.0003903291,0.0001200871,0.0004328916,0.0001340384,0.0001780437],"domain_scores_gemma":[0.9965761,0.0007237478,0.001073116,0.0008362088,0.0003033676,0.0004873216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001675674,0.00002887848,0.9950209,0.0000260779,0.000363859,0.0001406052,0.00008354896,0.0002899468,0.000341321,0.00005327623,0.0005321474,0.001443828],"study_design_scores_gemma":[0.0001393293,0.0001915353,0.9964813,0.00003543115,0.0003942454,0.0004229005,0.0001219087,0.001420882,0.0001293799,0.00009893056,0.0005444552,0.00001974279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996622,0.0004609831,0.0003401324,0.00007838106,0.0000142166,0.00001431874,0.002260542,0.000007563587,0.0002018324],"genre_scores_gemma":[0.9967766,0.0001405171,0.0003858641,0.00002880935,0.00001430679,0.00002226443,0.002392899,0.000005324581,0.0002335088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02092905,"threshold_uncertainty_score":0.04161441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005375302526525019,"score_gpt":0.209808822865634,"score_spread":0.204433520339109,"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."}}