{"id":"W3012964850","doi":"10.1101/2020.03.24.997536","title":"Genetically Encoded, Multivalent Liquid Glycan Array (LiGA)","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Glycan; LIGA; Avidity; Glycoconjugate; Molecular biology; Chemistry; Biology; Biochemistry; Genetics; Glycoprotein; Antigen","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002535121,0.0003401135,0.0002755364,0.0002603212,0.0001776518,0.0007184802,0.0004248139,0.0005221086,0.002339533],"category_scores_gemma":[0.000181977,0.0002268899,0.000340074,0.0002850137,0.0003536894,0.0003951065,0.0006496666,0.0009285326,0.00218065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004510811,"about_ca_system_score_gemma":0.0001567267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108024,"about_ca_topic_score_gemma":0.0001886389,"domain_scores_codex":[0.9997647,0.00003705523,0.000009567258,0.0000660373,0.00008275513,0.00003995804],"domain_scores_gemma":[0.9998995,0.00001827172,0.00002778146,0.00002395165,0.000009307043,0.00002121814],"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":[0.00005884071,0.00001893934,0.0002396911,0.00002506207,0.00001056681,0.00002978951,0.000006665119,0.0002634664,0.9927918,0.00095384,0.0003001618,0.00530126],"study_design_scores_gemma":[0.000007670176,0.0001063856,0.000473742,0.000002308907,0.00001045755,0.0001188316,0.000004139233,0.001634173,0.9885689,0.000271197,0.008793847,0.000008334794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7168545,0.003008094,0.2618203,0.0009203678,0.0003747963,0.0001575917,0.002178984,0.00543921,0.009246216],"genre_scores_gemma":[0.8817914,0.0007450121,0.1008785,0.0003586583,0.00005258736,0.0001075004,0.00203433,0.0002557558,0.01377631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002339533,"threshold_uncertainty_score":0.007826567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853459383271307,"score_gpt":0.2532262850413664,"score_spread":0.2346916912086533,"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."}}