{"id":"W3024829453","doi":"10.1039/d0an00647e","title":"Highly efficient enrichment of<i>N</i>-glycopeptides by two-dimensional Hf-based metal–organic framework nanosheets","year":2020,"lang":"en","type":"article","venue":"The Analyst","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Glycopeptide; Metal-organic framework; Metal; Chemistry; Environmental chemistry; Organic chemistry; Antibiotics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002971815,0.0001659989,0.0002113698,0.00004003038,0.0001271003,0.00002411814,0.0003800649,0.00008973727,0.000348677],"category_scores_gemma":[0.0001630597,0.0001156023,0.0001762005,0.0003924737,0.0001251203,0.000002078226,0.0001619565,0.0001597094,0.00009494477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000145416,"about_ca_system_score_gemma":0.0001102292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004550838,"about_ca_topic_score_gemma":0.000007535577,"domain_scores_codex":[0.9985011,0.0001637742,0.0002840202,0.0003429142,0.0004548253,0.0002533315],"domain_scores_gemma":[0.9990886,0.00005163769,0.0001160095,0.0004520173,0.0001457014,0.0001460006],"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":[0.000162414,0.0000991749,0.0002277224,0.00001579198,0.0001414282,0.000002840813,0.00004557639,0.009519448,0.9836435,0.0001431691,0.005768512,0.0002304059],"study_design_scores_gemma":[0.0006267096,0.0002981074,0.0001868132,0.00001456024,0.00006205665,0.000001843658,0.00003995124,0.004839821,0.9733788,0.00003392816,0.02035037,0.0001669716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901269,0.001511189,0.003970498,0.00351739,0.00004909139,0.000292784,0.00004200923,0.00001671981,0.0004734204],"genre_scores_gemma":[0.9970013,0.00001675612,0.0006437709,0.001776829,0.000105917,0.00001768819,0.0001362726,0.00002024695,0.0002812575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01458186,"threshold_uncertainty_score":0.4714123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199276534321201,"score_gpt":0.2626391655381368,"score_spread":0.2506464001949247,"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."}}