{"id":"W3217407767","doi":"10.1101/2021.11.29.470306","title":"Consistent predictors of microbial community composition across scales in grasslands reveal low context-dependency","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Thompson Rivers University; Agriculture and Agri-Food Canada; University of Alberta","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Abiotic component; Grassland; Productivity; Context (archaeology); Microbial population biology; Ecology; Plant community; Soil water; Environmental science; Biology; Geography; Ecological succession; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006515196,0.0002140887,0.0004620883,0.0006776455,0.0003414713,0.0007516745,0.0001829115,0.0003234766,0.001011283],"category_scores_gemma":[0.001852389,0.0002016097,0.0002274095,0.0006296214,0.0005184935,0.0003628555,0.0007447929,0.0002654555,0.0001848293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453555,"about_ca_system_score_gemma":0.0001549301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002627794,"about_ca_topic_score_gemma":0.004661214,"domain_scores_codex":[0.999506,0.0001483156,0.00002349314,0.0002028834,0.00005175783,0.00006759435],"domain_scores_gemma":[0.9985865,0.000573418,0.0004043349,0.0001752096,0.0001285065,0.0001319039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001399064,0.00002310611,0.9666041,0.00004609644,0.0001951157,0.00005235145,0.0001992739,0.0006962639,0.026704,0.00006989497,0.00006905109,0.005200961],"study_design_scores_gemma":[0.000002534143,0.00002394214,0.9980795,0.000003576459,0.00001648677,0.00003589678,0.0001353831,0.001046646,0.0004282717,0.0001335333,0.00009010362,0.00000419114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988523,0.0001017915,0.0006613784,0.000009366676,0.000001058557,0.000002431634,0.0001548639,0.000009691714,0.0002072227],"genre_scores_gemma":[0.9995172,0.00001570247,0.00030162,0.000005746477,0.000001775481,0.000002470019,0.0001202483,0.000002526571,0.00003267231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002627794,"threshold_uncertainty_score":0.005225003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184027466025673,"score_gpt":0.2421329872869245,"score_spread":0.2302927126266677,"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."}}