{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007447508,0.0002384982,0.0003084843,0.00006604666,0.000162249,0.00005215775,0.0004998572,0.0006152807,0.00002427563],"category_scores_gemma":[0.0008621057,0.0002274089,0.0002120738,0.00005761865,0.00008783426,0.000006299635,0.0002010356,0.0004614545,0.000002463488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009970596,"about_ca_system_score_gemma":0.00003590117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001944611,"about_ca_topic_score_gemma":0.00001505532,"domain_scores_codex":[0.9986854,0.0001256984,0.000296589,0.0004183741,0.0001593874,0.0003145581],"domain_scores_gemma":[0.9984164,0.00005815849,0.0001965813,0.001066346,0.0001509439,0.0001115504],"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":[0.00004163715,0.00006395754,0.000524036,0.00007554883,0.00005003963,0.000005490542,0.00005056367,0.0001307218,0.9820058,0.00002994187,0.0008461614,0.01617608],"study_design_scores_gemma":[0.0005425408,0.0001705355,0.003269482,0.00003148057,0.00007501239,0.00001255268,0.00005078306,0.0003357956,0.9698376,0.00003440053,0.025389,0.0002508129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2547064,0.009650532,0.7216443,0.0002367666,0.001097329,0.0002595274,0.00003721156,0.00003601067,0.0123319],"genre_scores_gemma":[0.7678494,0.00008941857,0.2305923,0.0001236732,0.0004204178,0.000004983634,0.00002162923,0.0000373532,0.0008607676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5131431,"threshold_uncertainty_score":0.9273468,"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."}}