{"id":"W1483946786","doi":"10.1186/s40168-015-0086-5","title":"Strong spurious transcription likely contributes to DNA insert bias in typical metagenomic clone libraries","year":2015,"lang":"en","type":"article","venue":"Microbiome","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Waterloo; Compute Canada; Genome Canada","keywords":"Fosmid; Cosmid; Biology; Metagenomics; Library; Genetics; Genomic library; DNA; Computational biology; Genome; Transcription (linguistics); Gene; 16S ribosomal RNA","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":[0.003947411,0.001091518,0.001289209,0.001979106,0.0005579088,0.001613442,0.0008256886,0.001235411,0.002131241],"category_scores_gemma":[0.01218695,0.0009560147,0.0009983882,0.002300693,0.001086221,0.001057221,0.001195338,0.001335674,0.001909721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006656306,"about_ca_system_score_gemma":0.0008563285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004059718,"about_ca_topic_score_gemma":0.0007260442,"domain_scores_codex":[0.993569,0.001326223,0.0008305217,0.001703907,0.002014091,0.000556151],"domain_scores_gemma":[0.983391,0.00769458,0.003993788,0.00178355,0.00267942,0.0004576373],"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":[0.0003637738,0.0001211665,0.02996222,0.0009237441,0.0001206194,0.0006096911,0.0003148644,0.0004679031,0.9489789,0.0007162208,0.0002275861,0.01719328],"study_design_scores_gemma":[0.00002968365,0.00036456,0.0439501,0.000171835,0.0002269679,0.002983941,0.0001937055,0.004453093,0.9407598,0.001479656,0.00534294,0.00004355813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7103847,0.005301672,0.2759148,0.0007491277,0.0003278088,0.0004464822,0.001593496,0.002184555,0.003097283],"genre_scores_gemma":[0.8257894,0.002158757,0.163675,0.001298512,0.0001766022,0.0004465703,0.003745404,0.0006674877,0.002042311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003947411,"threshold_uncertainty_score":0.02087611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04222491878896383,"score_gpt":0.2496453572024908,"score_spread":0.207420438413527,"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."}}