{"id":"W2000288795","doi":"10.1016/j.sbi.2008.09.002","title":"Putting glycobiology on a structural footing","year":2008,"lang":"en","type":"editorial","venue":"Current Opinion in Structural Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Glycobiology; Computational biology; Biology; Computer science; Glycan; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004209133,0.0007570904,0.0008154419,0.0003847052,0.0002369876,0.00004840934,0.001057836,0.002266519,0.00004787747],"category_scores_gemma":[0.002855857,0.0006094897,0.0002999026,0.0002338989,0.0007907465,0.000006945018,0.0007425678,0.001791206,0.00004694816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358909,"about_ca_system_score_gemma":0.0005504371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005212859,"about_ca_topic_score_gemma":0.00002092509,"domain_scores_codex":[0.995508,0.0003622262,0.001152533,0.001193148,0.0005215334,0.001262548],"domain_scores_gemma":[0.997861,0.0003441161,0.0005150797,0.0006816747,0.0003261247,0.0002720322],"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":[0.0004719736,0.00003715712,0.002898029,0.0007037775,0.0001280975,0.000002945364,0.0001513326,0.00002529802,0.004172637,0.0001587965,0.872331,0.118919],"study_design_scores_gemma":[0.00154318,0.001401902,0.001117512,0.0002581882,0.000009248281,0.00002580367,0.00002962941,0.0002356763,0.0006532967,0.0006758705,0.9933125,0.0007371686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.04734515,0.005405758,0.00004379623,0.0001272949,0.9453796,0.0006258922,0.0007606697,0.00004014781,0.0002717353],"genre_scores_gemma":[0.07044755,0.01389381,0.0008806106,0.00006662814,0.8908728,0.00008765978,0.02349759,0.0001026764,0.0001506994],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1209815,"threshold_uncertainty_score":0.9996356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372734594051754,"score_gpt":0.3688171973472901,"score_spread":0.3350898514067726,"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."}}