{"id":"W3010120900","doi":"10.1016/j.cub.2020.02.016","title":"Marine Sediments Illuminate Chlamydiae Diversity and Evolution","year":2020,"lang":"en","type":"article","venue":"Current Biology","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; Science for Life Laboratory; Uppsala Universitet; Vetenskapsrådet; Stiftelsen för Strategisk Forskning; Natural Sciences and Engineering Research Council of Canada; Trond Mohn stiftelse; European Commission; Knut och Alice Wallenbergs Stiftelse; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Chlamydiae; Biology; Phylum; Metagenomics; Lineage (genetic); Chlamydiaceae; Evolutionary biology; Clade; Ecology; Environmental DNA; Phylogenetics; Genome; Chlamydia; Biodiversity; Gene; Genetics","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":[0.0007571653,0.0004795312,0.0003632677,0.001923432,0.001128066,0.002344874,0.0004365884,0.001222128,0.00324204],"category_scores_gemma":[0.001803009,0.0004010213,0.0002475355,0.001812768,0.001681842,0.001397786,0.002322076,0.0009405942,0.0006046011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009290963,"about_ca_system_score_gemma":0.000744876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008944614,"about_ca_topic_score_gemma":0.01867353,"domain_scores_codex":[0.9994606,0.00009173944,0.00002777996,0.000142131,0.0001159661,0.0001618684],"domain_scores_gemma":[0.9987459,0.0002815696,0.0003589155,0.0001342843,0.0002625849,0.0002167313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006218068,0.00006333202,0.8008913,0.0003554257,0.0002937237,0.0005030347,0.003088636,0.001874507,0.1169603,0.005380438,0.001238661,0.06872875],"study_design_scores_gemma":[0.000006703593,0.00013888,0.9822642,0.00008070227,0.00004552322,0.0002170067,0.002199438,0.0005162957,0.002566674,0.001313539,0.01062452,0.00002657363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842678,0.005610445,0.001103295,0.0008493766,0.00008976357,0.000005405151,0.0005517309,0.00003260282,0.007489628],"genre_scores_gemma":[0.9955667,0.002196545,0.0005243571,0.0002557449,0.00008406872,0.000002579165,0.0002225409,0.00001591773,0.001131594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008944614,"threshold_uncertainty_score":0.01778507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04896954603090424,"score_gpt":0.3007864914919683,"score_spread":0.251816945461064,"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."}}