{"id":"W1969592341","doi":"10.1002/pmic.200700917","title":"Frontiers in glycomics: Bioinformatics and biomarkers in disease An NIH White Paper prepared from discussions by the focus groups at a workshop on the NIH campus, Bethesda MD (September 11–13, 2006)","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Glycomics; Library science; Advisory committee; Engineering ethics; Data science; Medicine; Computer science; Engineering; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02949138,0.001759635,0.0008640453,0.002875141,0.004114626,0.005043622,0.002382495,0.003922147,0.01721975],"category_scores_gemma":[0.01770202,0.0008531982,0.001081005,0.002980028,0.002167564,0.00324222,0.003766183,0.004638379,0.0061786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004353376,"about_ca_system_score_gemma":0.01131573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01278393,"about_ca_topic_score_gemma":0.01875425,"domain_scores_codex":[0.9941245,0.002945368,0.0002585371,0.0005341381,0.00150257,0.0006348476],"domain_scores_gemma":[0.9750406,0.01078609,0.0008417988,0.0007811419,0.007309286,0.005241161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008146678,0.00009582056,0.0001246378,0.0001342306,0.000008093821,0.00008534551,0.001048359,0.0001116169,0.001276302,0.001269126,0.9787854,0.01697964],"study_design_scores_gemma":[0.00006807048,0.0001800223,0.002346473,0.0004377776,0.00003436048,0.00009534088,0.004010963,0.0006678566,0.003083717,0.004255664,0.9847322,0.00008746877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008610708,0.01060081,0.02404783,0.8015289,0.1090875,0.003080811,0.006679349,0.0009739527,0.03539009],"genre_scores_gemma":[0.06310172,0.03073719,0.07624606,0.2132731,0.06623664,0.007287792,0.01931791,0.001896432,0.5219031],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02949138,"threshold_uncertainty_score":0.1559672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009105196308910844,"score_gpt":0.2483600593470542,"score_spread":0.2392548630381433,"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."}}