{"id":"W2922440138","doi":"10.1101/577767","title":"Marine sediments illuminate Chlamydiae diversity and evolution","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; Science for Life Laboratory; Knut och Alice Wallenbergs Stiftelse; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Uppsala Universitet; Vetenskapsrådet; Stiftelsen för Strategisk Forskning; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Chlamydiae; Biology; Phylum; Obligate; Clade; Evolutionary biology; Candidatus; Metagenomics; Chlamydiaceae; Phylogenetics; Genome; Ecology; Chlamydia; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003099615,0.0005661786,0.0003505776,0.001284483,0.0006423325,0.001153324,0.0002248145,0.000648052,0.001423773],"category_scores_gemma":[0.0005982507,0.0003330568,0.0002466052,0.001244889,0.0004074824,0.0005200478,0.001347399,0.0007029622,0.0004597277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003720541,"about_ca_system_score_gemma":0.0003133505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003325399,"about_ca_topic_score_gemma":0.005786228,"domain_scores_codex":[0.9997396,0.00002455274,0.00001286801,0.00008989562,0.00007159419,0.00006146799],"domain_scores_gemma":[0.9997314,0.00007048424,0.00006595014,0.00003414082,0.00005171384,0.00004636624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004604578,0.00005828855,0.2061751,0.0006549747,0.0001829024,0.00040993,0.001145938,0.001401805,0.732531,0.001104124,0.001213707,0.05466172],"study_design_scores_gemma":[0.00001109826,0.0001772946,0.9232134,0.0001457284,0.0001616037,0.0004452205,0.0008099224,0.002505623,0.05009188,0.001537304,0.02085699,0.00004396533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736527,0.01114323,0.005467945,0.0003825114,0.00009302839,0.00001108141,0.005128673,0.0002626664,0.003858265],"genre_scores_gemma":[0.9837285,0.004463208,0.006989036,0.0002668062,0.00007300513,0.000009329963,0.003078633,0.00009310324,0.001298247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003325399,"threshold_uncertainty_score":0.006612122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147805295611249,"score_gpt":0.2274844537181273,"score_spread":0.2127039241570025,"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."}}