{"id":"W2048134459","doi":"10.1002/pmic.201090035","title":"8th HUPO World Congress: The Human Disease Glycomics/Proteomics Initiative (HGPI) Session 26 September 2009, Toronto, Canada","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycomics; Glycan; Glycobiology; Proteomics; Glycoproteomics; Computational biology; Library science; Session (web analytics); Political science; Bioinformatics; Biology; Glycoprotein; Computer science; World Wide Web; Biochemistry; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002901055,0.001611408,0.0008288769,0.0009279502,0.003875205,0.003793099,0.001359747,0.003174321,0.1783304],"category_scores_gemma":[0.0008437009,0.0003489416,0.0007464002,0.0007302587,0.001063456,0.0009512474,0.002828329,0.002961953,0.03560567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00975381,"about_ca_system_score_gemma":0.0185311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2505416,"about_ca_topic_score_gemma":0.5961812,"domain_scores_codex":[0.9986182,0.000108636,0.00002270121,0.0001979088,0.0004482697,0.0006041542],"domain_scores_gemma":[0.9976391,0.0000704897,0.00005191551,0.0000468785,0.0007089008,0.001482745],"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":[0.0002321381,0.00007653453,0.0007362055,0.000097112,0.00001200551,0.0001981625,0.00008347526,0.00007258968,0.0007811758,0.0007734828,0.9789226,0.01801455],"study_design_scores_gemma":[0.0000359023,0.0000663257,0.006271458,0.0001076949,0.0000101488,0.0000674072,0.0002582209,0.00007433633,0.0004043131,0.0002327897,0.9924561,0.00001514815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02465648,0.05105172,0.008144015,0.1992795,0.1278077,0.003667254,0.0336116,0.001389886,0.5503918],"genre_scores_gemma":[0.01700852,0.006925407,0.001953551,0.005629112,0.004193982,0.0003047094,0.00685807,0.0002268672,0.9568998],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7494584,"threshold_uncertainty_score":0.5965747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361985233611759,"score_gpt":0.278417264224946,"score_spread":0.2647974118888284,"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."}}