{"id":"W609852909","doi":"10.5692/clinicalneurol.50.971","title":"Glycan biomaker in CSF","year":2010,"lang":"en","type":"article","venue":"Rinsho Shinkeigaku","topic":"Liver physiology and pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Glycan; Chemistry; Computational biology; Biology; Biochemistry; Glycoprotein","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":[0.0002575375,0.0004043706,0.000159942,0.0005923584,0.0004807186,0.0006395025,0.0002633475,0.000443318,0.003273015],"category_scores_gemma":[0.0005626568,0.0001208926,0.0001975527,0.0001885366,0.0003278455,0.0004924025,0.0005169146,0.0006773869,0.0006120288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005126034,"about_ca_system_score_gemma":0.0004748937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001742017,"about_ca_topic_score_gemma":0.0006466158,"domain_scores_codex":[0.9997944,0.00004661089,0.00001302366,0.00003987282,0.00003754055,0.00006856644],"domain_scores_gemma":[0.9997604,0.00004028717,0.00004105395,0.00001597098,0.0000449285,0.00009732295],"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":[0.003747673,0.0001914664,0.01123592,0.0001994446,0.0000834584,0.004164994,0.0005580289,0.0001714828,0.9413024,0.004154438,0.001298357,0.03289229],"study_design_scores_gemma":[0.0002073644,0.001054518,0.06756522,0.0001882515,0.0001927602,0.01068581,0.001868499,0.003441986,0.8594439,0.008197272,0.04708391,0.00007059849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867306,0.003720426,0.001232075,0.0004929207,0.0002512015,0.00001989707,0.0002131222,0.00003791797,0.007301799],"genre_scores_gemma":[0.99408,0.000640602,0.001118657,0.0002119225,0.00006794141,0.00001878858,0.0001784322,0.00001660321,0.003666934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003273015,"threshold_uncertainty_score":0.01094931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008125488507154787,"score_gpt":0.2759879357837262,"score_spread":0.2678624472765714,"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."}}