{"id":"W2794904294","doi":"10.1186/s40168-018-0420-9","title":"Correcting for 16S rRNA gene copy numbers in microbiome surveys remains an unsolved problem","year":2018,"lang":"en","type":"article","venue":"Microbiome","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":771,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Phylogenetic tree; Clade; 16S ribosomal RNA; Taxon; Evolutionary biology; Genome; Phylogenetics; Microbiome; Genetics; Metagenomics; Microbial ecology; Ribosomal RNA; Amplicon; Amplicon sequencing; Gene; Computational biology; Ecology; Polymerase chain reaction; Bacteria","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":[0.06592853,0.003157221,0.00488335,0.005057063,0.002333635,0.005218608,0.004541818,0.002618933,0.001244517],"category_scores_gemma":[0.154951,0.001595377,0.00264287,0.007751924,0.002926992,0.003506988,0.004332265,0.003317647,0.002752334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361088,"about_ca_system_score_gemma":0.001861637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008297693,"about_ca_topic_score_gemma":0.01078171,"domain_scores_codex":[0.94841,0.02239372,0.004889837,0.01125997,0.0118514,0.001195029],"domain_scores_gemma":[0.8754655,0.07987182,0.01242849,0.01896861,0.01239312,0.0008725633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004910002,0.0001798463,0.5331227,0.004194604,0.004533221,0.0005344823,0.002297013,0.0208584,0.03710926,0.004956038,0.01736906,0.3743543],"study_design_scores_gemma":[0.0001191208,0.0007059795,0.5454113,0.00321256,0.001779063,0.002527061,0.00341111,0.1710317,0.07654636,0.07432394,0.1203149,0.0006169478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2040263,0.03259427,0.7349822,0.004206522,0.003266663,0.000532342,0.009303709,0.006519304,0.004568781],"genre_scores_gemma":[0.4720528,0.006841298,0.5039209,0.003104953,0.001232959,0.000657812,0.008589868,0.001990985,0.001608462],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06592853,"threshold_uncertainty_score":0.3486676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530621464605028,"score_gpt":0.2666623164609703,"score_spread":0.25135610181492,"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."}}