{"id":"W2794546640","doi":"10.1099/mgen.0.000212","title":"Metagenomic assembly of new (sub)polar Cyanobacteria and their associated microbiome from non-axenic cultures","year":2018,"lang":"en","type":"article","venue":"Microbial Genomics","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture; Belgian Federal Science Policy Office; Fonds De La Recherche Scientifique - FNRS; University of Warwick; Université Laval","keywords":"Cyanobacteria; Metagenomics; Biology; Bacteroidetes; Axenic; Proteobacteria; Bacteria; Phylum; Microbiome; Genome; Phylogenomics; Evolutionary biology; Computational biology; 16S ribosomal RNA; Phylogenetics; Gene; Genetics; Clade","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002563463,0.000300925,0.0004903449,0.0000496708,0.0002902652,0.00003642358,0.0005968953,0.0003336533,0.002106628],"category_scores_gemma":[0.00002814705,0.0002781757,0.0001258284,0.0001684763,0.0006458616,0.0001206456,0.0007180956,0.0002670182,0.0005253427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911272,"about_ca_system_score_gemma":0.00006125209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003826489,"about_ca_topic_score_gemma":0.008901943,"domain_scores_codex":[0.9985296,0.0002141141,0.0003966298,0.0004081558,0.00003613361,0.000415435],"domain_scores_gemma":[0.9990497,0.00008693262,0.0002778797,0.0004410257,0.00002133036,0.0001231179],"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":[0.00009924307,0.00008617031,0.0009984191,0.000003347917,0.000131066,7.587423e-7,0.003004955,0.00001102564,0.9761707,0.000003313737,0.0191147,0.0003763592],"study_design_scores_gemma":[0.0008734271,0.0002298211,0.04545591,0.00001194139,0.000069247,0.00001060755,0.0001108568,0.00003390106,0.9187208,0.0004082008,0.03370453,0.0003707681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982992,0.00008719315,0.0001190361,0.00009812159,0.000366419,0.0002401097,0.0004237207,0.00002747421,0.0003387499],"genre_scores_gemma":[0.997075,0.0000940387,0.00135754,0.0006046479,0.0001685394,0.000001635779,0.0003260068,0.00003280758,0.0003398177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05744986,"threshold_uncertainty_score":0.999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009013207640059103,"score_gpt":0.2109385219542524,"score_spread":0.2019253143141933,"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."}}