{"id":"W3036826563","doi":"10.3389/fmicb.2020.01191","title":"Influence of Protein Glycosylation on Campylobacter fetus Physiology","year":2020,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Health and Medical Research Council; Alberta Innovates; University of Melbourne; Society for Applied Microbiology; National Institute of General Medical Sciences; Medical Research Council; Alberta Glycomics Centre; University of Georgia","keywords":"Biology; Glycosylation; Fetus; Campylobacter fetus; Campylobacter jejuni; Proteomics; Campylobacter; Escherichia coli; Biochemistry; Microbiology; Bacteria; Gene; Genetics; Pregnancy","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":[0.00009003245,0.0003460427,0.0001518661,0.00009541373,0.0001189714,0.0002722083,0.0001562993,0.0002263368,0.0007526614],"category_scores_gemma":[0.0002219442,0.0001081841,0.0001805052,0.0001094979,0.0002654152,0.0001428978,0.0002668084,0.0002940379,0.0001855363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002965508,"about_ca_system_score_gemma":0.0002014372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010375,"about_ca_topic_score_gemma":0.001238564,"domain_scores_codex":[0.9998863,0.00002000131,0.000007803784,0.0000283811,0.00002900641,0.00002862671],"domain_scores_gemma":[0.9998822,0.00002215843,0.00002854981,0.00001372674,0.00001601684,0.00003726778],"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":[0.0001034734,0.000008734075,0.0002979599,0.00001056526,0.000001858317,0.00004338917,0.00001213837,0.00002513635,0.9990799,0.00002703999,0.00001349979,0.0003761372],"study_design_scores_gemma":[0.000009817557,0.0002076155,0.04192942,0.000009277391,0.00001666437,0.0005123589,0.0001274222,0.001371404,0.9538896,0.0001067647,0.001804741,0.00001494705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982647,0.0001907727,0.0006998274,0.00006271238,0.0000108397,0.000006387549,0.0002026206,0.00001986054,0.0005422873],"genre_scores_gemma":[0.9979092,0.0001508635,0.0008684702,0.00003354693,0.000002395839,0.000006260506,0.0003178682,0.00002096044,0.0006903628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002010375,"threshold_uncertainty_score":0.003997266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158257837194929,"score_gpt":0.1964639828470193,"score_spread":0.18488140447507,"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."}}