{"id":"W2958475422","doi":"10.1038/s41467-019-11049-4","title":"High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":348,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Health and Medical Research Council; Kinghorn Foundation; University of New South Wales; National Breast Cancer Foundation","keywords":"Throughput; Computational biology; DNA sequencing; Biology; Single cell sequencing; Single-cell analysis; Genetics; Cell; Gene; Mutation; Computer science; Exome sequencing","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":[0.0001660073,0.0001206016,0.0001413953,0.0000291141,0.0001378359,0.00002094734,0.0005251981,0.0002547154,0.00003045428],"category_scores_gemma":[0.00003147011,0.00009516029,0.00007754722,0.0001051145,0.0001556411,0.000007644227,0.00009621556,0.0002740191,0.000003651608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002043207,"about_ca_system_score_gemma":0.00009038833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004724896,"about_ca_topic_score_gemma":0.0002089946,"domain_scores_codex":[0.9992471,0.0001026,0.0002093437,0.0001878035,0.0001188291,0.0001342762],"domain_scores_gemma":[0.9988186,0.00007727887,0.00009257183,0.0008419768,0.0001337255,0.00003583201],"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":[0.00004098228,0.00009358439,0.01276797,0.00002289798,0.00003942343,1.366088e-7,0.000156385,0.00006095042,0.9840777,0.002002698,0.0005429935,0.0001943073],"study_design_scores_gemma":[0.004084694,0.000717399,0.09798075,0.0001484189,0.0002190699,0.0000662338,0.0006788811,0.001011507,0.8138409,0.001009886,0.07937878,0.0008634791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97034,0.02657322,0.0002192303,0.0008023008,0.0001806995,0.0002094331,0.0001407443,0.00001272866,0.00152162],"genre_scores_gemma":[0.9937759,0.001129257,0.003586418,0.0004198717,0.00006560226,0.000008838472,0.0006374978,0.0000166779,0.0003599597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1702368,"threshold_uncertainty_score":0.3880524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485591153880687,"score_gpt":0.2363734571951675,"score_spread":0.2215175456563606,"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."}}