{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001474794,0.0001098181,0.0002213928,0.0001100442,0.00003604188,0.000004987833,0.00009367919,0.0002249431,0.0006627687],"category_scores_gemma":[0.00007496993,0.00009022206,0.00005767572,0.0001516261,0.0001461543,0.00006027495,0.00004531956,0.0005181096,0.00049644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001353415,"about_ca_system_score_gemma":0.00005963468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006635945,"about_ca_topic_score_gemma":0.0002855284,"domain_scores_codex":[0.9992484,0.00003394999,0.0001548502,0.00023632,0.00007585582,0.0002506562],"domain_scores_gemma":[0.9994482,0.00005400204,0.00002959266,0.0003390882,0.00002866142,0.00010041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002900394,0.0003550131,0.5484612,0.00004162074,0.00003682975,0.0007466626,0.0007919209,5.610794e-7,0.4324055,0.01059989,0.002115793,0.004154961],"study_design_scores_gemma":[0.001199752,0.0001565831,0.9752086,0.00001444908,0.0000195423,0.0002363278,0.00003113842,0.00003322151,0.005517028,0.002700076,0.01477036,0.0001128963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711471,0.00004043925,0.000003297004,0.001080635,0.0005335906,0.0001517365,0.000005625231,0.00006442169,0.02697315],"genre_scores_gemma":[0.9964147,0.000009249403,0.0006697171,0.001471879,0.0002776621,0.00001312755,0.00002692002,0.00001382639,0.001102984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4268885,"threshold_uncertainty_score":0.7256853,"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."}}