{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124715,0.0003072683,0.0002653667,0.00008271309,0.0001492966,0.00009356181,0.0001090389,0.00004086504,0.00008276902],"category_scores_gemma":[0.000009849025,0.0001815674,0.0001157662,0.0001482657,0.0001232559,0.0002024751,0.00008111378,0.00009231661,0.0000131209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005485702,"about_ca_system_score_gemma":0.00009148198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001126191,"about_ca_topic_score_gemma":0.00008831707,"domain_scores_codex":[0.9983518,0.00004005406,0.0001842548,0.0005537093,0.0004695194,0.0004006352],"domain_scores_gemma":[0.9991061,0.00003311254,0.00009350001,0.0004578574,0.00002505539,0.0002843749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009510695,0.0007744535,0.9930856,0.0001264883,0.001379196,0.00004330143,0.00006956613,0.00001323912,0.00005410925,0.0002918352,0.0004253889,0.002785807],"study_design_scores_gemma":[0.005653427,0.0006631714,0.9719428,0.0001702097,0.001456051,0.000001294388,0.0006736222,0.0004184378,0.0001299978,0.001033396,0.01756968,0.0002878527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989049,0.001151616,0.0001270061,0.004856926,0.0001088271,0.002584329,0.00004881297,0.00007001043,0.002003476],"genre_scores_gemma":[0.9933683,0.0008062675,0.0001321063,0.003973389,0.0000236485,0.0004873048,0.00007795454,0.00004573496,0.001085329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02114268,"threshold_uncertainty_score":0.7404106,"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."}}