{"id":"W2807635846","doi":"10.1007/s00248-018-1206-0","title":"Determinants of Soil Bacterial and Fungal Community Composition Toward Carbon-Use Efficiency Across Primary and Secondary Forests in a Costa Rican Conservation Area","year":2018,"lang":"en","type":"article","venue":"Microbial Ecology","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences; Environment and Climate Change Canada","keywords":"Soil carbon; Secondary forest; Biology; Ecology; Soil biodiversity; Ecosystem; Soil biology; Biomass (ecology); Biodiversity; Soil ecology; Soil organic matter; Environmental science; Agronomy; Agroforestry; Soil water","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":[0.0003233107,0.0002040256,0.0001721229,0.000563818,0.0006199636,0.0005154209,0.0003358742,0.0002054638,0.0005089928],"category_scores_gemma":[0.0007619101,0.0001323523,0.0001546451,0.0006681517,0.000640469,0.0002036956,0.0006376818,0.0001590389,0.00005733607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155706,"about_ca_system_score_gemma":0.0005858612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1818905,"about_ca_topic_score_gemma":0.3774344,"domain_scores_codex":[0.9997885,0.00006850761,0.00001037657,0.00004612447,0.00002259917,0.00006387646],"domain_scores_gemma":[0.9996338,0.00005580921,0.0001161878,0.00003515254,0.00009094964,0.00006810749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006022233,0.00003586043,0.9941872,0.00001048419,0.00004564008,0.00003444039,0.001457684,0.0001552926,0.001602212,0.00007121715,0.00006416793,0.002275632],"study_design_scores_gemma":[8.392099e-7,0.000005328483,0.9988951,0.000002587437,0.000007261417,0.00001291423,0.0007820019,0.0001671861,0.00005263972,0.000008658092,0.0000646686,8.773608e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997098,0.00003060014,0.00001979601,0.00001158709,2.250094e-7,0.000002656307,0.00004076361,6.424897e-7,0.0001839335],"genre_scores_gemma":[0.9997956,0.00002169546,0.00004241111,0.00000701913,3.996548e-7,0.00000277039,0.0000480054,5.552612e-7,0.00008151288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1818905,"threshold_uncertainty_score":0.3616636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197272577576772,"score_gpt":0.2220586188321123,"score_spread":0.2000858930563445,"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."}}