{"id":"W2950076676","doi":"10.1002/ece3.5324","title":"A burrowing ecosystem engineer positively affects its microbial prey under stressful conditions","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Predation; Trophic level; Predator; Biology; Ecosystem; Ecosystem engineer; Ecology; Context (archaeology); Competition (biology); Habitat","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":[0.0001400939,0.0002205145,0.0001518267,0.0001907526,0.0001478755,0.0003687021,0.0001471694,0.0002048221,0.001134024],"category_scores_gemma":[0.0002589629,0.000102639,0.00008882561,0.00007429215,0.0001765003,0.000165762,0.0003745818,0.0002620869,0.0001254871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298168,"about_ca_system_score_gemma":0.0001287519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004115216,"about_ca_topic_score_gemma":0.001115593,"domain_scores_codex":[0.9998862,0.00002346536,0.000007044418,0.00002325154,0.00002686897,0.00003324371],"domain_scores_gemma":[0.9996575,0.00006921215,0.00009785269,0.0000246703,0.0000382511,0.0001125324],"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":[0.00008306393,0.00006943184,0.01297408,0.0000180971,0.00001281574,0.0001087149,0.0000273662,0.0001327247,0.9849142,0.00007203861,0.00002296129,0.001564591],"study_design_scores_gemma":[0.00001702449,0.001553375,0.6326523,0.00001785128,0.00005541389,0.001242651,0.0005705002,0.006203644,0.3561886,0.0002992494,0.00117363,0.00002569785],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996075,0.00001961861,0.00009758202,0.00001095138,0.000001510557,0.000001461978,0.00001181226,0.000004263927,0.0002452117],"genre_scores_gemma":[0.9994716,0.00002377313,0.0002421245,0.00001699522,9.193908e-7,0.000002146606,0.00002168901,0.000001816104,0.0002189863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001134024,"threshold_uncertainty_score":0.003793716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003210494835815066,"score_gpt":0.2092090832047185,"score_spread":0.2059985883689034,"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."}}