{"id":"W2170882932","doi":"10.1016/j.explore.2006.08.016","title":"Glyconutrients: The State of the Science and the Impact of Glycomics","year":2006,"lang":"en","type":"review","venue":"EXPLORE","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Glycomics; Glycobiology; Engineering ethics; Perspective (graphical); Data science; Engineering; Computer science; Biology; Glycan; Artificial intelligence","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":[0.0009587485,0.0001866464,0.0004227712,0.000057277,0.0001695805,0.0000364322,0.000944101,0.00008408769,0.000005936961],"category_scores_gemma":[0.0004173833,0.0000681804,0.0003649957,0.0005048384,0.0019573,0.000004281444,0.0005163289,0.0002130898,0.00000187429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003085149,"about_ca_system_score_gemma":0.0007552354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504339,"about_ca_topic_score_gemma":0.000009812163,"domain_scores_codex":[0.998543,0.0002179327,0.0003603984,0.0002470446,0.0004132527,0.0002183726],"domain_scores_gemma":[0.9984403,0.00006551811,0.0003416134,0.0008228174,0.0002907843,0.00003892048],"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":[0.0003185869,0.0001396811,0.00006040143,0.002259687,0.0003802199,0.000001487682,0.0004883687,0.0001013157,0.001619971,0.0006719708,0.005969423,0.9879889],"study_design_scores_gemma":[0.0009868249,0.0001817758,0.0001370635,0.0007658888,0.00009472168,0.00002849339,0.00005736703,0.0000686454,0.003432583,0.0004194748,0.9936274,0.0001997506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01571336,0.9822716,0.00001988573,0.00007265269,0.00007337519,0.001160078,0.000097002,0.000002295356,0.000589769],"genre_scores_gemma":[0.02581162,0.9735665,0.00001238703,0.00001466829,0.00006225529,0.00006721059,0.00002709235,0.00001892883,0.0004193627],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9877892,"threshold_uncertainty_score":0.7211754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04317564655204774,"score_gpt":0.3598183574990725,"score_spread":0.3166427109470248,"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."}}