{"id":"W2765734704","doi":"10.1038/nmeth.4466","title":"CRISPR-UMI: single-cell lineage tracing of pooled CRISPR–Cas9 screens","year":2017,"lang":"en","type":"article","venue":"Nature Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":147,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"CRISPR; Biology; Reprogramming; Induced pluripotent stem cell; Computational biology; Genome editing; Cas9; Negative selection; Single-cell analysis; Embryonic stem cell; Genetics; Gene; Cell; Genome","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":[0.001765799,0.001227408,0.001709133,0.002371659,0.001444189,0.001721083,0.002134294,0.001525722,0.009050858],"category_scores_gemma":[0.001100354,0.001541755,0.001267825,0.001051338,0.0008160554,0.0008366961,0.002351061,0.003133733,0.005114057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159309,"about_ca_system_score_gemma":0.001089063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002603899,"about_ca_topic_score_gemma":0.008531014,"domain_scores_codex":[0.9977407,0.000223135,0.000247692,0.000644721,0.0008050794,0.0003387008],"domain_scores_gemma":[0.9989082,0.0002207446,0.0002046883,0.0003447635,0.0001312177,0.0001903954],"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":[0.0001068725,0.00004963689,0.0002933884,0.00009935291,0.00002921068,0.0000973122,0.00006451048,0.0003453823,0.9868944,0.001350674,0.0009072999,0.009762113],"study_design_scores_gemma":[0.00001776397,0.00004329647,0.001015257,0.00001490067,0.00003099005,0.0002348167,0.0000160486,0.00228129,0.9872637,0.000279187,0.008777669,0.00002510903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2036049,0.001759873,0.7349938,0.0005937723,0.0003648158,0.00172489,0.01605177,0.0178984,0.0230077],"genre_scores_gemma":[0.4791739,0.001550651,0.4535207,0.0005462239,0.00005079052,0.002298805,0.01242289,0.004961216,0.04547484],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009050858,"threshold_uncertainty_score":0.03027809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867576945757532,"score_gpt":0.4083340160791621,"score_spread":0.3896582466215868,"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."}}