{"id":"W2162712962","doi":"10.1128/aem.00935-15","title":"Diversity of the Sediment Microbial Community in the Aha Watershed (Southwest China) in Response to Acid Mine Drainage Pollution Gradients","year":2015,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Watershed; Microbial population biology; Biogeochemical cycle; Acid mine drainage; Environmental science; Pollution; Sediment; Environmental chemistry; Temperature gradient gel electrophoresis; Ecology; Biology; Bacteria; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009513363,0.000122135,0.0001431357,0.0000478236,0.0002176821,0.000003952449,0.0003620555,0.00008387939,0.000034617],"category_scores_gemma":[0.00001194602,0.00007885513,0.00002862001,0.0001274399,0.0004035852,0.00003604185,0.00133218,0.0001960658,0.00002004296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952976,"about_ca_system_score_gemma":0.000003039859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141481,"about_ca_topic_score_gemma":0.0005553815,"domain_scores_codex":[0.9989876,0.0003756116,0.0001834465,0.000181036,0.0000682544,0.0002040372],"domain_scores_gemma":[0.9996139,0.00002486074,0.00006751557,0.0002489588,5.976681e-7,0.00004415866],"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":[0.0001822622,0.0001963776,0.03255643,0.000002499401,0.000002952492,0.000001811091,0.0215983,0.00004508477,0.9449552,0.00001430738,0.0003286362,0.0001161482],"study_design_scores_gemma":[0.001671412,0.0002818435,0.8127049,0.00001023744,0.00001141891,0.00002496871,0.006529043,0.000005019426,0.1755285,0.0005972792,0.002420649,0.0002147357],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980905,0.00001323671,0.00001608781,0.001003092,0.00003786572,0.0004618362,0.00004706972,0.000006275704,0.0003240496],"genre_scores_gemma":[0.9990328,0.000004666153,0.00008627333,0.0007534561,0.000006751926,0.00001573863,0.00004544149,0.000004876953,0.0000499897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7801485,"threshold_uncertainty_score":0.3215619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008901495621698357,"score_gpt":0.1913282914743887,"score_spread":0.1824267958526903,"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."}}