{"id":"W3032082124","doi":"10.1073/pnas.1912839117","title":"Inflammation-related plasma and CSF biomarkers for multiple sclerosis","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020; Neuroförbundet; Vetenskapsrådet; Hjärnfonden; European Commission; Multiple Sclerosis Society of Canada","keywords":"Multiple sclerosis; Medicine; Cerebrospinal fluid; Biomarker; Natalizumab; Disease; Immunology; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007895871,0.00007896274,0.0001787823,0.0001129516,0.0002093378,0.00001809194,0.0002503772,0.00006085085,0.000009461711],"category_scores_gemma":[0.006226637,0.00005095155,0.00007009461,0.0006233899,0.0009412479,0.0002695323,0.0001427163,0.0001031523,8.065813e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002156462,"about_ca_system_score_gemma":0.0000300196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003348811,"about_ca_topic_score_gemma":5.518492e-8,"domain_scores_codex":[0.9984484,0.000003882184,0.0003037172,0.0002168914,0.0008868632,0.0001402997],"domain_scores_gemma":[0.9988834,0.0003640483,0.0002385978,0.000004805946,0.0004352469,0.00007386229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001306852,0.00001985878,0.03592527,0.0002920978,0.00008872634,1.594579e-9,0.000547822,0.00001584553,0.9553151,0.002032265,0.002027506,0.003604868],"study_design_scores_gemma":[0.001549248,0.000157138,0.4767177,0.0002353828,0.00003104233,0.00000192632,0.0004891251,0.04450789,0.4741679,0.001607634,0.0004562216,0.00007881877],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605896,0.0001019226,0.000001059647,0.03701717,0.000007393414,0.0005805233,0.00002702196,0.00001554657,0.001659718],"genre_scores_gemma":[0.9962156,0.0001221914,0.003320515,0.000212083,0.00005678053,0.00003110702,2.694376e-7,0.000004210616,0.00003719021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4811472,"threshold_uncertainty_score":0.7454316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1448098749186786,"score_gpt":0.3350538699864254,"score_spread":0.1902439950677468,"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."}}