{"id":"W4364361757","doi":"10.1158/2643-3230.c.6572000","title":"Data from &lt;i&gt;In Vivo&lt;/i&gt; Screening Unveils Pervasive RNA-Binding Protein Dependencies in Leukemic Stem Cells and Identifies ELAVL1 as a Therapeutic Target","year":2023,"lang":"en","type":"preprint","venue":"","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Princess Margaret Cancer Centre; McMaster University; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Celgene; University of California, San Diego; National Institutes of Health; Pfizer","keywords":"In vivo; Stem cell; RNA; RNA-binding protein; Computational biology; Biology; Cancer research; Cell biology; Genetics; Gene","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":[0.0008084198,0.001142753,0.001106608,0.001354257,0.0006770836,0.001048765,0.0005407899,0.0009451777,0.01754764],"category_scores_gemma":[0.0004787525,0.0003828694,0.0008403831,0.001254252,0.000746519,0.0004579246,0.0005247301,0.002505324,0.007259477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007363152,"about_ca_system_score_gemma":0.0007728254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886549,"about_ca_topic_score_gemma":0.00483699,"domain_scores_codex":[0.9983153,0.0001091638,0.000172507,0.0003913065,0.0007822265,0.0002293762],"domain_scores_gemma":[0.998939,0.0002558478,0.0001768456,0.0001789879,0.0002044547,0.000244904],"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":[0.0002794508,0.0001598446,0.001059552,0.0001288779,0.00003559934,0.0001639561,0.0000545506,0.0003140239,0.9872077,0.0004161695,0.003155332,0.007024853],"study_design_scores_gemma":[0.00003039111,0.0003416712,0.008571729,0.00001516972,0.00005098254,0.0004584689,0.00009214462,0.001355398,0.9692658,0.0001709977,0.01961981,0.00002745653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6641299,0.001882557,0.07331963,0.001653106,0.0004197269,0.0006644602,0.203609,0.00848031,0.04584119],"genre_scores_gemma":[0.7020784,0.002521774,0.04335501,0.001575724,0.00004127655,0.001102325,0.1856058,0.002957864,0.06076183],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01754764,"threshold_uncertainty_score":0.05870271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05382481523841164,"score_gpt":0.2851066431183293,"score_spread":0.2312818278799176,"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."}}