{"id":"W2910650696","doi":"10.3389/fendo.2018.00819","title":"Protein O-GlcNAcylation in Cardiac Pathologies: Past, Present, Future","year":2019,"lang":"en","type":"review","venue":"Frontiers in Endocrinology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Montreal Heart Institute","funders":"Fédération Française de Cardiologie; Infrastructures en Biologie Santé et Agronomie","keywords":"Context (archaeology); In vivo; Protein stability; Medicine; Bioinformatics; Neuroscience; Computational biology; Chemistry; Biology; Cell biology; Biotechnology","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":[0.0004983665,0.0006374129,0.0007844929,0.001413986,0.000248518,0.0009434929,0.0005266982,0.000995277,0.002105205],"category_scores_gemma":[0.0004998406,0.0001870023,0.0002881619,0.001899516,0.0005694322,0.001560966,0.0006252722,0.001315237,0.001250002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103703,"about_ca_system_score_gemma":0.0009120008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007631181,"about_ca_topic_score_gemma":0.001217386,"domain_scores_codex":[0.9999032,0.00001943557,0.00001440676,0.00002063113,0.00002818885,0.00001421961],"domain_scores_gemma":[0.9997721,0.0000882724,0.00003382247,0.000008604123,0.00006243282,0.00003471528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001223171,0.00005660087,0.0003186519,0.01055529,0.00005124212,0.0002342169,0.00008890803,0.000363525,0.002965754,0.004777368,0.02096377,0.9595025],"study_design_scores_gemma":[0.0000130384,0.0001398004,0.001700338,0.003030236,0.00009045664,0.001849297,0.0001543946,0.0001719941,0.0008230789,0.004969579,0.9870314,0.00002636549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000152635,0.9986385,0.0001062394,0.000359045,0.0001886071,0.000001258161,0.000008628085,0.000005157419,0.0005399612],"genre_scores_gemma":[0.0009167911,0.9981668,0.0001623192,0.0001689966,0.0002050405,0.000002157901,0.00001385823,0.000001187564,0.0003628513],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002105205,"threshold_uncertainty_score":0.007042587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028445996707582,"score_gpt":0.3223892978367126,"score_spread":0.2939433011291305,"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."}}