{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003635463,0.0003754421,0.000966295,0.0002932512,0.0002835708,0.00004188073,0.0003545646,0.0004166069,0.0002349421],"category_scores_gemma":[0.01240881,0.0003044027,0.0003649272,0.0008443785,0.0006396192,0.000140273,0.001036439,0.001023791,0.0007708523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696077,"about_ca_system_score_gemma":0.0002633137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003326804,"about_ca_topic_score_gemma":0.000167553,"domain_scores_codex":[0.9950821,0.0004343873,0.00154115,0.001009552,0.0009239186,0.001008864],"domain_scores_gemma":[0.9967228,0.001318608,0.0002339075,0.0008530283,0.0002796883,0.0005919954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001773219,0.000679038,0.9242364,0.0003528429,0.00008468002,0.0001056167,0.00007989907,0.00002420742,0.03276326,0.000002370751,0.004552247,0.03534621],"study_design_scores_gemma":[0.007916946,0.0009622407,0.96668,0.001400954,0.00003981101,0.00000819067,0.00002595384,0.01464961,0.007667571,0.00001546474,0.000350591,0.0002826437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918621,0.0002108379,0.0003206232,0.002777961,0.0004155114,0.00377087,0.0001369642,0.0003671262,0.0001380415],"genre_scores_gemma":[0.9905625,0.001953092,0.004418286,0.0003078833,0.0008270685,0.0006693203,0.0002041042,0.00008883949,0.0009689044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04244362,"threshold_uncertainty_score":0.9999408,"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."}}