{"id":"W4394618671","doi":"10.21203/rs.3.rs-4130712/v1","title":"Non-targeted isomer-sensitive N-glycome analysis reveals new layers of organ-specific diversity in mice.","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; Österreichischen Akademie der Wissenschaften; Canadian Institutes of Health Research; Austrian Science Fund; European Commission","keywords":"Glycome; Diversity (politics); Computational biology; Biology; Molecular biology; Glycan; Political science; Glycoprotein","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004113282,0.000775531,0.0003428945,0.001169934,0.0002294363,0.0007004581,0.0004476093,0.0007091177,0.002665613],"category_scores_gemma":[0.0002296669,0.0004332712,0.0005771388,0.0003829943,0.0007429679,0.0007072072,0.0005737555,0.001918933,0.0006989677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004389094,"about_ca_system_score_gemma":0.0002201636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000672842,"about_ca_topic_score_gemma":0.001209943,"domain_scores_codex":[0.9996456,0.00004526531,0.00001865507,0.0001368792,0.00007515248,0.00007834582],"domain_scores_gemma":[0.999593,0.00006543004,0.0001566073,0.00006042351,0.0000247347,0.00009982276],"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":[0.0004507005,0.00002235479,0.0002460489,0.00002051218,0.00001340242,0.00006640315,0.00001237798,0.0000465995,0.9974515,0.0002804516,0.0001077536,0.001281827],"study_design_scores_gemma":[0.00005168623,0.0003473577,0.01556519,0.00002217505,0.00008884953,0.0009336213,0.00007637659,0.0009202901,0.9768465,0.0007240033,0.004402681,0.00002122358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725112,0.002153997,0.01610327,0.0005092071,0.0001135853,0.00004568503,0.003707113,0.0004964569,0.004359571],"genre_scores_gemma":[0.9664501,0.00273221,0.01208189,0.0005217648,0.00004768776,0.00009583721,0.003381186,0.0007601159,0.01392922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002665613,"threshold_uncertainty_score":0.008917332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04774624156729437,"score_gpt":0.3608411866955569,"score_spread":0.3130949451282625,"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."}}