{"id":"W2938402374","doi":"10.1101/608471","title":"A shared core microbiome in soda lakes separated by large distances","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary; Alberta Innovates; Genome Canada; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Phototroph; Microbial mat; Metagenomics; Ecology; Cyanobacteria; Prokaryote; Biology; Ecosystem; Biological dispersal; Microbial ecology; Microbiome; Productivity; Bacteria; Botany; Photosynthesis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00015635,0.0002318736,0.0004267661,0.0008200211,0.0008140815,0.0006119731,0.0001682016,0.0003489871,0.0006316581],"category_scores_gemma":[0.0003044478,0.0001951422,0.0002466737,0.000812396,0.0004745588,0.0004485036,0.001266879,0.0001735527,0.00008426592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002994196,"about_ca_system_score_gemma":0.0005021699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004247599,"about_ca_topic_score_gemma":0.005609861,"domain_scores_codex":[0.9998177,0.00001395965,0.00001504382,0.00007340453,0.00003893165,0.00004094534],"domain_scores_gemma":[0.9997607,0.00002220748,0.00008958411,0.00001414398,0.00004622094,0.00006707045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005652473,0.00005162304,0.513814,0.0001631207,0.0001266436,0.0006945987,0.003557975,0.0001679562,0.4715078,0.0001254697,0.000158973,0.009066609],"study_design_scores_gemma":[0.000008090961,0.0001348716,0.992147,0.00001247513,0.00005142038,0.0004204752,0.00135322,0.0004515348,0.004339238,0.00007046373,0.001000054,0.00001126144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996359,0.00007861045,0.00007898206,0.000008561365,0.000001311048,0.000003326296,0.0001137579,0.000003522223,0.00007597274],"genre_scores_gemma":[0.9991707,0.00005366925,0.0002409748,0.0000192459,0.000002851447,0.000008446093,0.0003185412,0.0000030156,0.0001827071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004247599,"threshold_uncertainty_score":0.00844574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138704465035164,"score_gpt":0.2202357754351798,"score_spread":0.2088487307848282,"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."}}