{"id":"W4414453801","doi":"10.1101/2025.09.20.677403","title":"Pooled CRISPR screens identify genes and non-coding genomic regions that regulate red blood cell density","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Montreal Heart Institute","funders":"Canadian Institutes of Health Research; Fondation Charles-Bruneau; Institut de Cardiologie de Montréal; Fondation Institut de Cardiologie de Montréal","keywords":"Gene; CRISPR; Genome-wide association study; Phenotype; Regulator; Transcription factor; CRISPR interference; Cell; Regulation of gene expression","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":[0.0004070363,0.0006454752,0.0006331996,0.0006508388,0.0002550872,0.0004416658,0.000460431,0.0005101429,0.003286608],"category_scores_gemma":[0.0004087609,0.0003198186,0.0006869638,0.000377783,0.00035022,0.0001259171,0.0006226526,0.0005926814,0.0006371685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003181761,"about_ca_system_score_gemma":0.0003005118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400504,"about_ca_topic_score_gemma":0.003802035,"domain_scores_codex":[0.9995425,0.00005589797,0.00004870214,0.0001525088,0.0001425444,0.00005794238],"domain_scores_gemma":[0.9995877,0.0001550692,0.000106901,0.00005158554,0.00003532159,0.00006345953],"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":[0.0001830316,0.00003009082,0.002029793,0.00008308777,0.00009588933,0.0002654942,0.00002104911,0.000682944,0.992619,0.0001677817,0.0001654566,0.003656453],"study_design_scores_gemma":[0.0001336207,0.0008123121,0.04739789,0.00003408635,0.0005721179,0.001430253,0.00009431509,0.008957217,0.9288158,0.0004214298,0.01127446,0.00005646649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513772,0.001026059,0.03484519,0.0002057157,0.0001057462,0.0001556539,0.007438969,0.001776824,0.003068859],"genre_scores_gemma":[0.9783095,0.0003695477,0.0142362,0.0002639056,0.00001653623,0.0001403792,0.003081104,0.0002804819,0.003302271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003286608,"threshold_uncertainty_score":0.01099479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022937651330393,"score_gpt":0.2401948267423068,"score_spread":0.2199654502290028,"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."}}