{"id":"W3143323622","doi":"10.1126/science.abb3099","title":"Imaging cell lineage with a synthetic digital recording system","year":2021,"lang":"en","type":"article","venue":"Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institutes of Health; Wellcome Trust; Canadian Aeronautics and Space Institute; Paul G. Allen Family Foundation; Howard Hughes Medical Institute","keywords":"Integrase; Biology; Lineage (genetic); Computational biology; Context (archaeology); Gene; Genetics; Cell biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003120486,0.0002694149,0.0001913311,0.0004019429,0.000195043,0.000560116,0.0007889276,0.0005281972,0.00415387],"category_scores_gemma":[0.0003870969,0.000251273,0.0002012364,0.0002298194,0.0003396016,0.0004403663,0.0006649852,0.0007643834,0.001096344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143431,"about_ca_system_score_gemma":0.0002494108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004834226,"about_ca_topic_score_gemma":0.000893991,"domain_scores_codex":[0.9997224,0.00002361306,0.00001909831,0.00008222282,0.0001295869,0.0000230973],"domain_scores_gemma":[0.9996243,0.0001062155,0.00006747391,0.00009314695,0.00006307509,0.00004585875],"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":[0.00006991037,0.00002308755,0.000261815,0.00005331684,0.000007227433,0.00008331972,0.00003238623,0.0003925426,0.9715551,0.001732071,0.0009687418,0.02482038],"study_design_scores_gemma":[0.0000264558,0.0002272482,0.001768763,0.00001525492,0.00001721872,0.0009107081,0.00003378335,0.01572811,0.9468228,0.0006526061,0.03376104,0.00003598586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2840525,0.00146282,0.6782588,0.001422648,0.000666775,0.0002832381,0.002899583,0.005883817,0.02506989],"genre_scores_gemma":[0.4752802,0.001460329,0.5016971,0.0006417175,0.0001325851,0.0003732783,0.001387059,0.0002851722,0.01874267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00415387,"threshold_uncertainty_score":0.01389611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00293398612440113,"score_gpt":0.2342304969316419,"score_spread":0.2312965108072408,"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."}}