{"id":"W2004594378","doi":"10.1186/1471-2105-15-s9-s14","title":"A better sequence-read simulator program for metagenomics","year":2014,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal University Hospital; University of Saskatchewan","funders":"","keywords":"Metagenomics; Computer science; Shotgun sequencing; Data mining; Emulation; Sequence (biology); Flexibility (engineering); Data quality; DNA sequencing; Biology; Metric (unit); Statistics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00266385,0.001498973,0.0006359284,0.0006800263,0.0004105324,0.0007796049,0.00308739,0.001179087,0.02517531],"category_scores_gemma":[0.005271273,0.0008474366,0.001470553,0.0006116746,0.0004396809,0.001736928,0.001241712,0.002515682,0.006463716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008945309,"about_ca_system_score_gemma":0.001413523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417757,"about_ca_topic_score_gemma":0.001367057,"domain_scores_codex":[0.9993163,0.0001507569,0.00006520857,0.0001904863,0.0002205218,0.00005681911],"domain_scores_gemma":[0.9983652,0.0008244666,0.0001270893,0.0002693427,0.0003046969,0.000109224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003027982,0.001373822,0.01995944,0.0029665,0.0009632437,0.0008845133,0.001292302,0.3318844,0.1029195,0.03636166,0.2183666,0.2799999],"study_design_scores_gemma":[0.0004647906,0.0002809639,0.001335146,0.0000884572,0.0001019757,0.0001780293,0.00003094271,0.8430527,0.0503348,0.008382084,0.09564106,0.0001090261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01702756,0.0001847044,0.6885565,0.0003236916,0.0001991633,0.0003770361,0.005971064,0.2820249,0.005335304],"genre_scores_gemma":[0.1194697,0.0003375886,0.8047752,0.000788531,0.00009276163,0.002021038,0.01796077,0.04716428,0.007390216],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02517531,"threshold_uncertainty_score":0.08421975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815450896831953,"score_gpt":0.2794824156312894,"score_spread":0.2513279066629698,"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."}}