{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133998,0.0001935815,0.0001577378,0.0001076334,0.0003061349,0.000165134,0.0006492799,0.00006808445,0.00001795313],"category_scores_gemma":[0.001281257,0.0001394749,0.00003493323,0.0007430714,0.0003210503,0.00003173393,0.0005199587,0.0001773082,0.00001307228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006845767,"about_ca_system_score_gemma":0.0002116219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009261462,"about_ca_topic_score_gemma":0.000339082,"domain_scores_codex":[0.9973601,0.0001043794,0.0002827868,0.0007220657,0.0005479637,0.0009826915],"domain_scores_gemma":[0.9990923,0.00004522944,0.00006829355,0.0003890329,0.0001812928,0.0002238615],"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":[0.0001011046,0.00002860762,0.0614277,0.00001523376,0.000004396007,0.000001725691,0.0001739172,0.0004958326,0.9303611,0.00002367469,0.00004685033,0.007319843],"study_design_scores_gemma":[0.0007821075,0.0004081356,0.1987879,0.00008867264,0.000003758475,0.000007354611,0.0003924178,0.007812424,0.7906405,0.00001656762,0.0007949732,0.0002651797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996747,0.0003695907,0.0001244287,0.001117331,0.0001015037,0.001388785,0.00001575624,0.00001274971,0.0001228686],"genre_scores_gemma":[0.9978535,0.0001241736,0.00134744,0.0002243128,0.00008442035,0.0001149907,0.0000138409,0.00001639411,0.0002209163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1397206,"threshold_uncertainty_score":0.5687619,"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."}}