{"id":"W2894254285","doi":"10.1016/j.mgene.2018.05.050","title":"Clinical and translational biomarkers for lysosomal storage disorders","year":2018,"lang":"en","type":"article","venue":"Meta Gene","topic":"Lysosomal Storage Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Dermatan sulfate; Fabry disease; Lysosomal storage disease; Enzyme replacement therapy; Multiplex; Biomarker; Keratan sulfate; Medicine; Urine; Biomarker discovery; Chondroitin sulfate; Tandem mass spectrometry; Glycosaminoglycan; Mass spectrometry; Chemistry; Internal medicine; Disease; Biochemistry; Bioinformatics; Proteomics; Chromatography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006791587,0.0001509673,0.0003880986,0.0001129697,0.0001459297,0.00002119103,0.00009796511,0.0001212191,0.0005515954],"category_scores_gemma":[0.0002419047,0.000120657,0.0002822389,0.0001931151,0.0005316152,0.00005913316,0.00003510692,0.0001122194,0.00003398215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009888686,"about_ca_system_score_gemma":0.0001093204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002439034,"about_ca_topic_score_gemma":0.00006592961,"domain_scores_codex":[0.9985557,0.00008711142,0.0003161634,0.0004064407,0.0003215567,0.0003130101],"domain_scores_gemma":[0.9991549,0.0001872704,0.00004344687,0.000251568,0.0001423336,0.000220431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006597067,0.001311639,0.5848179,0.0004190423,0.01313029,0.00004454989,0.0007812319,0.000005105698,0.0222425,0.001584672,0.0210602,0.3480058],"study_design_scores_gemma":[0.01770306,0.003667962,0.7671366,0.00002687577,0.00387744,0.00009034413,0.0001740053,0.008170112,0.004243233,0.005435621,0.1887259,0.0007488704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685786,0.003766863,0.01859535,0.004939269,0.0002879251,0.001158801,0.00006613383,0.00006756795,0.002539515],"genre_scores_gemma":[0.9813558,0.0001702208,0.01639803,0.0004023162,0.0004457572,0.00008205974,0.00006027725,0.00003729021,0.001048251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.347257,"threshold_uncertainty_score":0.6039582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07647041331725839,"score_gpt":0.3820588317637591,"score_spread":0.3055884184465007,"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."}}