{"id":"W2045098870","doi":"10.1016/j.carres.2008.01.007","title":"GM3, GM2 and GM1 mimics designed for biosensing: chemoenzymatic synthesis, target affinities and 900MHz NMR analysis","year":2008,"lang":"en","type":"article","venue":"Carbohydrate Research","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Institute for Biological Sciences","funders":"Wageningen University Fund","keywords":"Chemistry; Cholera toxin; Campylobacter jejuni; Stereochemistry; Glycoside; Escherichia coli; Vibrio cholerae; Enterotoxin; Two-dimensional nuclear magnetic resonance spectroscopy; Nuclear magnetic resonance spectroscopy; Biochemistry; Heteronuclear single quantum coherence spectroscopy; Bacteria; Microbiology","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":[0.001182443,0.0001953484,0.0003175177,0.0005160006,0.0005201477,0.0001157307,0.0001825286,0.0002141108,0.00002238028],"category_scores_gemma":[0.001273172,0.0001831994,0.0001122114,0.0006961416,0.00058062,0.00001128114,0.0002029847,0.0001895669,0.000005930878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003153709,"about_ca_system_score_gemma":0.0002217083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007211905,"about_ca_topic_score_gemma":0.0000537828,"domain_scores_codex":[0.997842,0.0003125417,0.0002634615,0.0005493946,0.0004161118,0.000616479],"domain_scores_gemma":[0.9984255,0.0003255611,0.00005058342,0.0004281846,0.0005152217,0.0002548933],"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":[0.0002752364,0.00007369713,0.002639791,0.0001689416,0.0004412351,0.00002487779,0.000269283,0.00007526694,0.9933792,0.0002173315,0.001345432,0.0010897],"study_design_scores_gemma":[0.0007972579,0.0003704274,0.002093986,0.00002774759,0.0000956558,0.00003321291,0.0005022351,0.01331926,0.9770092,0.0003701306,0.004989126,0.0003917138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950988,0.00185379,0.001364506,0.0005066102,0.00001938377,0.0006141725,0.00004569105,0.00001790247,0.0004791509],"genre_scores_gemma":[0.9939574,0.001618938,0.00299979,0.00005199912,0.0001144154,0.0001382298,0.0001052265,0.00003656828,0.000977444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01636996,"threshold_uncertainty_score":0.7470657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07042170787990792,"score_gpt":0.3309782342630506,"score_spread":0.2605565263831427,"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."}}