{"id":"W4281615459","doi":"10.1016/j.isci.2022.104530","title":"Fast and accurate matching of cellular barcodes across short-reads and long-reads of single-cell RNA-seq experiments","year":2022,"lang":"en","type":"article","venue":"iScience","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Vancouver Coastal Health Research Institute; Michael Smith Health Research BC","keywords":"Computational biology; Single cell sequencing; Computer science; DNA sequencing; Biology; Genetics; DNA; Gene; Exome sequencing; Mutation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002398602,0.0001238713,0.0001582204,0.00002834272,0.0001857158,0.0000293566,0.0002406827,0.00004607246,0.000009966721],"category_scores_gemma":[0.00001132451,0.0001210799,0.00004090888,0.0001061032,0.000341518,0.00001193401,0.0002937187,0.00007107148,1.724756e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008887811,"about_ca_system_score_gemma":0.00003434765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008506079,"about_ca_topic_score_gemma":0.00001836994,"domain_scores_codex":[0.9989804,0.00004385635,0.0002193206,0.0003349403,0.0001984613,0.0002230257],"domain_scores_gemma":[0.9995924,0.00001340721,0.00008285078,0.0002052843,0.00003793472,0.00006815893],"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":[0.00004118375,0.0001198879,0.007661412,0.00003500738,0.00000665556,0.00000331025,0.001094418,0.0002635359,0.9882044,0.00001434559,0.000008586045,0.00254729],"study_design_scores_gemma":[0.0002923073,0.0003466945,0.001138549,0.00001141963,0.000007549518,0.000009945625,0.0009368951,0.0002986683,0.9966542,0.00002855922,0.0001391097,0.0001361389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919812,0.002038023,0.005374637,0.00001684983,0.0001167576,0.00009579763,0.00005187136,0.000005006225,0.0003198458],"genre_scores_gemma":[0.9990904,0.00007250599,0.0005384192,0.00004406877,0.00002024181,0.000007040969,0.00001497274,0.00001199605,0.000200314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008449796,"threshold_uncertainty_score":0.4937495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645856429252383,"score_gpt":0.2709850600089539,"score_spread":0.2445264957164301,"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."}}