{"id":"W4387904033","doi":"10.1101/2023.10.23.563662","title":"CRISPR screens and lectin microarrays identify novel high mannose N-glycan regulators","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of California, San Diego; National Institutes of Health","keywords":"CRISPR; Glycosylation; Lectin; Computational biology; DNA microarray; Biology; Genetics; Molecular biology; Gene; Gene expression","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":[0.0004322044,0.0006305624,0.0005368558,0.0003853767,0.0002652503,0.0007464059,0.0004327371,0.0006744862,0.001815539],"category_scores_gemma":[0.0003634932,0.0002646561,0.0005016474,0.0003150327,0.000459605,0.0002450256,0.0007018413,0.001017944,0.0006245218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007377266,"about_ca_system_score_gemma":0.0003954336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063679,"about_ca_topic_score_gemma":0.002791784,"domain_scores_codex":[0.9994175,0.00006457044,0.00003761687,0.0001641033,0.0002387987,0.00007735437],"domain_scores_gemma":[0.9997514,0.00007633187,0.00006901734,0.0000363886,0.00002781894,0.00003909694],"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":[0.00004315247,0.00001517165,0.000339328,0.00002585786,0.00001112532,0.00005364361,0.00001061015,0.000280666,0.9964708,0.000228838,0.0001396551,0.002381109],"study_design_scores_gemma":[0.000009926789,0.0001034819,0.002981198,0.000005399331,0.00002037515,0.0002020766,0.00002889306,0.003061906,0.9889218,0.0002583295,0.004393104,0.00001360987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8433602,0.001662809,0.1370287,0.0008447231,0.000164606,0.0002139274,0.003826882,0.002823588,0.01007458],"genre_scores_gemma":[0.9070806,0.0009941151,0.07914209,0.0007915809,0.00003291013,0.0002098996,0.001881095,0.0003782819,0.009489482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001815539,"threshold_uncertainty_score":0.006073534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127836017101054,"score_gpt":0.2666638147579962,"score_spread":0.2453854545869856,"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."}}