{"id":"W4386255358","doi":"10.1186/s12014-023-09418-9","title":"Cerebrospinal fluid camk2a levels at baseline predict long-term progression in multiple sclerosis","year":2023,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Princess Margaret Cancer Centre; Ottawa Hospital; Public Health Ontario; University Health Network; University of Toronto","funders":"","keywords":"Multiple sclerosis; Medicine; Cerebrospinal fluid; Disease; Biomarker; Internal medicine; Oncology; Biomarker discovery; Bioinformatics; Proteomics; Immunology; Biology","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":[0.000571155,0.0003471733,0.0002369737,0.0006444719,0.0002478916,0.0004351622,0.0002062216,0.0004233232,0.0008222649],"category_scores_gemma":[0.002240773,0.0001067688,0.0001700356,0.0003345569,0.0002331223,0.0003115946,0.0002632554,0.0004753651,0.0002057177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002838171,"about_ca_system_score_gemma":0.0002198972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693179,"about_ca_topic_score_gemma":0.001868683,"domain_scores_codex":[0.9998815,0.00003040185,0.00001221828,0.00002512674,0.00003140843,0.00001917628],"domain_scores_gemma":[0.999018,0.0002625308,0.0003633485,0.00002987889,0.0001511081,0.0001751775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001484932,0.0001153874,0.9841232,0.00003504404,0.0001041334,0.0002173997,0.0001003154,0.0001942902,0.005016766,0.00001486365,0.0001689443,0.008424758],"study_design_scores_gemma":[0.00001751431,0.0003050111,0.9975037,0.00001236102,0.00004717259,0.0004204051,0.00008309057,0.0004469111,0.0009514256,0.00005275754,0.0001550259,0.000004617374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989898,0.0007054745,0.0000672562,0.00003677854,0.000005736919,0.000003479518,0.00006321155,0.000003173647,0.0001250445],"genre_scores_gemma":[0.9995458,0.0001356174,0.0001296215,0.00001171333,0.000008246628,0.000003992684,0.00008405202,9.070785e-7,0.00008011248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001693179,"threshold_uncertainty_score":0.003366649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2861581479718544,"score_gpt":0.4340672789560452,"score_spread":0.1479091309841908,"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."}}