{"id":"W2947113429","doi":"10.1021/acscentsci.9b00327","title":"Targeting the Chondroitin Sulfate Proteoglycans: Evaluating Fluorinated Glucosamines and Xylosides in Screens Pertinent to Multiple Sclerosis","year":2019,"lang":"en","type":"article","venue":"ACS Central Science","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Remyelination; Multiple sclerosis; Chondroitin sulfate; Inflammation; Neuroscience; Central nervous system; Chondroitin sulfate proteoglycan; Chemistry; Downregulation and upregulation; Semaphorin; Immune system; Cell biology; Microglia; Neurodegeneration; Myelin; Biochemistry; Biology; Immunology; Medicine; Disease; Glycosaminoglycan; Gene; Internal medicine","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":[0.0002669626,0.0005898817,0.0003129343,0.0003650159,0.000270701,0.0003408095,0.0002388763,0.000582002,0.001337965],"category_scores_gemma":[0.0001371174,0.0001457501,0.0002401185,0.000247565,0.0003120587,0.000188617,0.000169645,0.0005460435,0.0002357594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003569347,"about_ca_system_score_gemma":0.0005082645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234233,"about_ca_topic_score_gemma":0.007991619,"domain_scores_codex":[0.9998585,0.00002801305,0.00000923989,0.0000205907,0.00005565554,0.00002794386],"domain_scores_gemma":[0.9998994,0.00001462156,0.00002351068,0.000008529762,0.00002118377,0.00003280071],"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":[0.00008580466,0.00005493037,0.0001193648,0.00003567978,0.000009216778,0.00005309431,0.00001484887,0.0001200799,0.9973298,0.0001030943,0.00007340703,0.002000649],"study_design_scores_gemma":[0.00003910329,0.001615231,0.001226582,0.000007305648,0.00004583669,0.0003368392,0.00002152196,0.0003929512,0.990818,0.00007815018,0.00540832,0.00001018382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656336,0.006256843,0.01593909,0.0006765814,0.0001271252,0.0003895537,0.001299777,0.0002700143,0.009407397],"genre_scores_gemma":[0.9649501,0.00747711,0.01663044,0.0002707296,0.0000258323,0.0001119265,0.001024356,0.00007547085,0.009433888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00234233,"threshold_uncertainty_score":0.004657447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846345670194055,"score_gpt":0.283783057223803,"score_spread":0.2553196005218624,"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."}}