{"id":"W3095219632","doi":"10.1128/msphere.00512-20","title":"Sediment Metagenomes as Time Capsules of Lake Microbiomes","year":2020,"lang":"en","type":"article","venue":"mSphere","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Sediment; Microbiome; Environmental science; Geology; Biology; Geomorphology; Bioinformatics","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":[0.000293623,0.0003412656,0.000234892,0.001274318,0.0002596244,0.001067426,0.000145712,0.0002698214,0.0006713453],"category_scores_gemma":[0.0005751786,0.0002258188,0.0002777814,0.001589338,0.0001650415,0.0005342779,0.0005410737,0.0003960502,0.0002137279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192926,"about_ca_system_score_gemma":0.0002377937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336976,"about_ca_topic_score_gemma":0.003219739,"domain_scores_codex":[0.9998059,0.00003009199,0.00001541571,0.00007023331,0.00004466647,0.00003375414],"domain_scores_gemma":[0.9997882,0.00004346542,0.00007280365,0.00001969172,0.00004170051,0.00003407308],"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":[0.0003588366,0.0000454341,0.06043598,0.0002629729,0.0001293965,0.0001000009,0.0005426725,0.001538259,0.9068482,0.0009249884,0.000228004,0.0285853],"study_design_scores_gemma":[0.00002104785,0.000388778,0.807243,0.00009601892,0.0002225301,0.0005170608,0.001206473,0.01773095,0.1532632,0.003515711,0.01571148,0.00008373418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710056,0.002397258,0.01962952,0.0001071916,0.00003985747,0.00002984671,0.005159911,0.0001339227,0.001496968],"genre_scores_gemma":[0.9679769,0.001295955,0.02418133,0.0001042359,0.00002263834,0.00004899128,0.005374778,0.00007023113,0.0009249765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001336976,"threshold_uncertainty_score":0.002658427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007991984981461562,"score_gpt":0.1948263542978394,"score_spread":0.1868343693163778,"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."}}