{"id":"W2994769036","doi":"10.1016/j.jmoldx.2019.10.011","title":"Sample Tracking Using Unique Sequence Controls","year":2019,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre; Simon Fraser University","funders":"Provincial Health Services Authority; Genome British Columbia","keywords":"Barcode; Sample (material); DNA sequencing; Computational biology; Pipeline (software); Sequence (biology); Genotyping; Massive parallel sequencing; Biology; Computer science; Data mining; Genetics; DNA; Gene; Genotype","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005028948,0.001175912,0.001043218,0.002308874,0.001246554,0.00208434,0.001490086,0.002189827,0.005171562],"category_scores_gemma":[0.01350276,0.001120181,0.0006173362,0.001352031,0.001469877,0.002169063,0.002397261,0.002075667,0.002634255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083459,"about_ca_system_score_gemma":0.001498929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009592724,"about_ca_topic_score_gemma":0.00180909,"domain_scores_codex":[0.9929919,0.0009940241,0.0004961141,0.00302206,0.002057453,0.0004384146],"domain_scores_gemma":[0.9882239,0.003019747,0.001666159,0.003944627,0.002729095,0.0004165329],"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":[0.001043117,0.0001862571,0.00421862,0.0002376694,0.00006813915,0.0003737971,0.0005237133,0.002352155,0.8515787,0.01071686,0.003164212,0.1255368],"study_design_scores_gemma":[0.00002598371,0.0001685619,0.001344376,0.00003157461,0.00004143498,0.000335128,0.00003274653,0.02526477,0.955088,0.00155969,0.01604694,0.00006086936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09965862,0.001086651,0.8769822,0.0003671004,0.0008100086,0.0003398692,0.000673246,0.0140501,0.006032271],"genre_scores_gemma":[0.3569176,0.000585537,0.6220154,0.0008588801,0.0001441613,0.0008962693,0.001343765,0.001937876,0.01530052],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005171562,"threshold_uncertainty_score":0.02659595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753896807517896,"score_gpt":0.277257169101475,"score_spread":0.259718201026296,"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."}}