{"id":"W2971455026","doi":"10.1007/s12013-019-00883-4","title":"Age-Dependent Variation in Glycosylation Features of Alpha-2-Macroglobulin","year":2019,"lang":"en","type":"article","venue":"Cell Biochemistry and Biophysics","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"Hamilton Health Sciences Foundation; McMaster University","keywords":"Glycosylation; Alpha (finance); alpha-2-Macroglobulin; Variation (astronomy); Macroglobulin; Chemistry; Internal medicine; Endocrinology; Medicine; Biochemistry; Physics; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001318699,0.000131018,0.0001345185,0.00003389236,0.00002696535,0.00002180033,0.0001192152,0.0001852431,0.00003001114],"category_scores_gemma":[0.00002395298,0.0001289499,0.00004952043,0.0001333248,0.00005224741,0.000006233515,0.00008866943,0.0001143152,0.00001177981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001454858,"about_ca_system_score_gemma":0.00005327297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004659037,"about_ca_topic_score_gemma":0.000006952994,"domain_scores_codex":[0.9991139,0.00002882715,0.0001902842,0.0003250831,0.000172159,0.0001697073],"domain_scores_gemma":[0.9995065,0.000009521291,0.00009151404,0.0002670718,0.00007106926,0.00005431794],"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":[0.0001237497,0.00009850426,0.001793061,0.0001323324,0.000009146748,0.000002491601,0.0000411589,0.00004195229,0.9959138,0.00004307441,0.00005822872,0.001742502],"study_design_scores_gemma":[0.0007480939,0.0001144597,0.01219031,0.00001838673,0.000004967293,0.000003033198,0.00003743288,0.00009705462,0.985907,0.0001207858,0.000614585,0.0001439215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995357,0.0003811886,0.0001069734,0.00004381913,0.00005753671,0.000210571,0.00002259492,0.000006095348,0.003814226],"genre_scores_gemma":[0.9965812,0.0001497562,0.0002433516,0.00003326881,0.00008337264,0.000008405122,0.0001947176,0.00001117268,0.002694733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01039725,"threshold_uncertainty_score":0.5258425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004842492811878566,"score_gpt":0.2291594246897116,"score_spread":0.224316931877833,"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."}}