{"id":"W4319442323","doi":"10.3390/ijms24043223","title":"Mass Spectrometry Analysis of Globotriaosylsphingosine and Its Analogues in Dried Blood Spots","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Lysosomal Storage Disorders Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Université de Montréal; Hôpital du Sacré-Cœur de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"Sanofi Genzyme; Sanofi","keywords":"Dried blood spot; Dried blood; Venipuncture; Whole blood; Medicine; Biomarker; Hematocrit; Fabry disease; Venous blood; Biomarker discovery; Chemistry; Chromatography; Internal medicine; Surgery; Disease; Biochemistry; Proteomics","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":[0.0004054646,0.0005594501,0.0003996977,0.001687378,0.0003593656,0.0004493289,0.0003310324,0.0006868565,0.0009015103],"category_scores_gemma":[0.0008381483,0.000173292,0.0003016562,0.0008521004,0.0003091452,0.000171079,0.0003283976,0.0003871688,0.0004760376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118751,"about_ca_system_score_gemma":0.0003016571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164635,"about_ca_topic_score_gemma":0.001184709,"domain_scores_codex":[0.9995995,0.00008015157,0.00002609068,0.0001248021,0.000138702,0.00003071142],"domain_scores_gemma":[0.9997218,0.00007888111,0.00006792821,0.00001977374,0.00007224242,0.00003935825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004920089,0.00006724501,0.007667847,0.0002313192,0.0001295203,0.0009656764,0.000188573,0.0002145112,0.9746228,0.0001421429,0.000224423,0.01505383],"study_design_scores_gemma":[0.00006257591,0.0008102494,0.07240155,0.0001106585,0.0002362185,0.008945294,0.0002931835,0.004494992,0.904125,0.0003459201,0.008090911,0.0000833925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663882,0.008779282,0.01966082,0.0001236917,0.0001055287,0.000169106,0.002366942,0.0003401371,0.002066288],"genre_scores_gemma":[0.9519804,0.004206844,0.03948054,0.0003197878,0.00005699885,0.0001536108,0.001377789,0.00007027928,0.002353947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001687378,"threshold_uncertainty_score":0.003015876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0284399611109129,"score_gpt":0.3509753325979366,"score_spread":0.3225353714870237,"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."}}