{"id":"W4404782555","doi":"10.1101/2024.11.26.625312","title":"RNA programmable cell targeting and manipulation with CellREADR","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"RNA; ADAR; Computational biology; Translation (biology); Biology; Cell; RNA editing; Effector; Cell biology; Computer science; Messenger RNA; Gene; Genetics","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":[0.001052409,0.0007005085,0.0006777256,0.000476176,0.0004238698,0.000825438,0.001038653,0.0007664629,0.003983357],"category_scores_gemma":[0.0005400775,0.0005332507,0.0006078868,0.0002983863,0.0006177907,0.0005582024,0.0009875986,0.001492724,0.004708699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004170962,"about_ca_system_score_gemma":0.0003641003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00028798,"about_ca_topic_score_gemma":0.0006552356,"domain_scores_codex":[0.9989275,0.0001155371,0.00008091843,0.0002822279,0.0004942911,0.00009938872],"domain_scores_gemma":[0.99958,0.0001099037,0.00007885496,0.0001313083,0.00005315587,0.00004680497],"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":[0.00005319214,0.00003847962,0.00006624194,0.0001378439,0.000007720158,0.00009992453,0.00008497373,0.000281487,0.980627,0.001660285,0.001038456,0.01590438],"study_design_scores_gemma":[0.00001567523,0.0001029383,0.0002185302,0.00001556148,0.000007191276,0.0002221637,0.00001202617,0.001729327,0.9595652,0.0001963132,0.03789311,0.00002194325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08137852,0.001702223,0.8828103,0.0003161172,0.0004274778,0.001572718,0.001929969,0.01363332,0.01622932],"genre_scores_gemma":[0.1740297,0.002343455,0.7846459,0.0005240146,0.00008118973,0.003130931,0.00396207,0.001611232,0.02967145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003983357,"threshold_uncertainty_score":0.01332563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007530037918266229,"score_gpt":0.2043412789651922,"score_spread":0.196811241046926,"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."}}