{"id":"W2338621233","doi":"10.1139/cjm-2015-0783","title":"pH affects bacterial community composition in soils across the Huashan Watershed, China","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Actinobacteria; Proteobacteria; Pyrosequencing; Biology; Operational taxonomic unit; Soil water; Alpha diversity; Ecology; Phylum; Soil pH; Soil test; Community structure; Phylogenetic diversity; Phylogenetic tree; 16S ribosomal RNA; Bacteria","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004680224,0.0003098173,0.0003236395,0.0009215478,0.0005050975,0.0004962705,0.0002449399,0.0002373737,0.0003553463],"category_scores_gemma":[0.0004852957,0.0002772257,0.0002323056,0.0009368272,0.0004204105,0.0003571745,0.0004747224,0.0001722084,0.0000456152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152434,"about_ca_system_score_gemma":0.001220444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09686347,"about_ca_topic_score_gemma":0.09187599,"domain_scores_codex":[0.9996849,0.0000491815,0.00002201978,0.00008467877,0.00007996326,0.00007925583],"domain_scores_gemma":[0.9995944,0.00005321497,0.0001025879,0.00001386486,0.0001360915,0.0000998569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003489182,0.00008444594,0.9497313,0.00007343553,0.0001373233,0.0002797067,0.000798577,0.0005451229,0.04080163,0.00007317805,0.00008404463,0.007042319],"study_design_scores_gemma":[0.000003367614,0.00002964721,0.9988992,0.000001742529,0.000008599882,0.00001985598,0.0001869697,0.000319118,0.0004769834,0.00001195776,0.00003984327,0.000002715574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997759,0.00004749901,0.00003734514,0.000008560473,9.610211e-7,0.000003291747,0.00003681113,0.00000116884,0.00008845754],"genre_scores_gemma":[0.999647,0.00005541948,0.00006194796,0.000009965604,0.0000014698,0.000004382585,0.00008937332,6.626009e-7,0.0001297389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09686347,"threshold_uncertainty_score":0.1925994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009456630680023491,"score_gpt":0.214100643799075,"score_spread":0.2046440131190515,"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."}}