{"id":"W2890147601","doi":"10.1101/411058","title":"Resource: Scalable whole genome sequencing of 40,000 single cells identifies stochastic aneuploidies, genome replication states and clonal repertoires","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Canada's Michael Smith Genome Sciences Centre; Genome British Columbia; University of British Columbia","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Cancer Research UK; BC Cancer Foundation; Terry Fox Research Institute; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Genome; Biology; Computational biology; Genetics; Single cell sequencing; Replication timing; Mutation; Gene; Exome sequencing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005554409,0.0004555724,0.0004905186,0.0001624381,0.0001888534,0.0001926188,0.000450657,0.0004611516,0.00001547499],"category_scores_gemma":[0.000298942,0.0005249649,0.0001157914,0.0001703657,0.0003941302,0.00001222986,0.0008848509,0.0002576986,0.000008085069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079149,"about_ca_system_score_gemma":0.000470218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002196353,"about_ca_topic_score_gemma":0.00002062761,"domain_scores_codex":[0.9972306,0.0000794316,0.0006502916,0.001315696,0.0002586169,0.0004653589],"domain_scores_gemma":[0.9968481,0.00005450242,0.0005909266,0.001738351,0.0005601019,0.0002079983],"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":[0.00008350122,0.00006088612,0.0005588841,0.0003141233,0.0001266835,0.000006227491,0.00002437547,0.002150188,0.9963051,0.00001074613,0.0003575726,0.000001720693],"study_design_scores_gemma":[0.0003777503,0.0002686938,0.01127817,0.0001948277,0.0001422083,1.587238e-7,0.00001521815,0.00036785,0.9714549,0.00001244341,0.01516987,0.0007179042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880637,0.007712235,0.001500775,0.00007445767,0.0003179442,0.0005151278,0.001755712,0.00005207809,0.000007980814],"genre_scores_gemma":[0.9956006,0.0014716,0.001817337,0.0001446758,0.0006872588,0.00009131993,0.00002880084,0.0001243403,0.00003407848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02485019,"threshold_uncertainty_score":0.9997202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112846033377902,"score_gpt":0.209073533745593,"score_spread":0.1977889304078028,"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."}}