{"id":"W6950678262","doi":"10.5683/sp3/ol6hi2","title":"Bespoke plant glycoconjugates for gut microbiota-mediated drug targeting","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of British Columbia","funders":"Agriculture and Agri-Food Canada; Canadian Institutes of Health Research; Alberta Innovates; Michael Smith Health Research BC; Innovation, Science and Economic Development Canada","keywords":"Glycoconjugate; Gut flora; Bespoke; Targeted drug delivery; Drug; Glycobiology; Gut microbiome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001315809,0.001674177,0.001586871,0.002459006,0.0008130872,0.002273903,0.002538618,0.002385356,0.06602439],"category_scores_gemma":[0.004722724,0.0004397073,0.001651882,0.003514364,0.00038463,0.0007681776,0.001975477,0.001502448,0.05018785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422986,"about_ca_system_score_gemma":0.002275948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01456283,"about_ca_topic_score_gemma":0.0356367,"domain_scores_codex":[0.9991165,0.0001643252,0.0001039057,0.0002555899,0.0002186604,0.0001410764],"domain_scores_gemma":[0.9985862,0.0004997122,0.0002448535,0.0002634866,0.0002582866,0.0001474786],"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":[0.0004757243,0.00008128928,0.003498602,0.005362617,0.0002951774,0.00009518883,0.00004056284,0.001414398,0.001258163,0.001725459,0.9734717,0.0122811],"study_design_scores_gemma":[0.0006627445,0.00007824406,0.005428602,0.001040271,0.0003074738,0.000134285,0.00006707284,0.001126086,0.001438424,0.002747921,0.9869278,0.00004099737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003555901,0.0005729722,0.000143111,0.0001517898,0.00003570184,0.0000212862,0.9974518,0.0002165293,0.001051207],"genre_scores_gemma":[0.001066748,0.0002899198,0.0005423392,0.0001331855,0.000007277205,0.0001051384,0.997032,0.00003685361,0.000786525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06602439,"threshold_uncertainty_score":0.2208736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318695993145639,"score_gpt":0.2586029759200008,"score_spread":0.2354160159885444,"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."}}