{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001471206,0.0001112036,0.0001637454,0.00007762,0.0004392065,0.000003766495,0.0001333607,0.0001206513,0.0004661089],"category_scores_gemma":[0.0002137506,0.00009920249,0.00003803399,0.0001455207,0.0004096876,0.00006939479,0.001283686,0.0003362581,0.000613487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004781622,"about_ca_system_score_gemma":0.00002140175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009911268,"about_ca_topic_score_gemma":0.000003339335,"domain_scores_codex":[0.9990063,0.0001927168,0.0001238681,0.0003941266,0.00001847027,0.0002645611],"domain_scores_gemma":[0.9996352,0.00005589819,0.00004857309,0.0001439995,0.00007690924,0.00003943952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001009821,0.0001140582,0.8321766,0.00002502619,0.00008844962,0.000001048887,0.0004052927,6.368568e-7,0.1238902,0.002181795,0.001122881,0.03989302],"study_design_scores_gemma":[0.001225587,0.000452178,0.8945973,0.000006235107,0.00003443366,0.00002934208,0.00007623358,0.00001478693,0.01157289,0.001050476,0.0907351,0.0002054647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943764,0.002538117,0.0003507257,0.000820961,0.0009758692,0.0002163059,0.00002473383,0.00007446772,0.0006223794],"genre_scores_gemma":[0.9992868,0.0002889534,0.00001444523,0.00004599477,0.00008067313,0.000009962172,0.0001095644,0.00000525153,0.0001583883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1123173,"threshold_uncertainty_score":0.7885338,"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."}}