{"id":"W2885345202","doi":"10.1038/s41598-018-30519-1","title":"China’s most typical nonferrous organic-metal facilities own specific microbial communities","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"China University of Geosciences; China University of Geosciences, Beijing; National Natural Science Foundation of China","keywords":"Bioremediation; Environmental remediation; Environmental chemistry; Ferrous; Microorganism; Environmental science; Iron bacteria; Microbial population biology; Bacteria; Ecology; Chemistry; Biology; Contamination","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":[0.0001945367,0.0003895038,0.0002678843,0.0009816973,0.0006061592,0.000537565,0.0002494429,0.0002268765,0.001290819],"category_scores_gemma":[0.0001842518,0.0001243266,0.0002982879,0.001137599,0.0002743006,0.0002854953,0.0004790591,0.0001104123,0.0001946024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440643,"about_ca_system_score_gemma":0.001276931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540562,"about_ca_topic_score_gemma":0.03878632,"domain_scores_codex":[0.9997799,0.00001468912,0.000018098,0.00006391893,0.00006516414,0.00005823782],"domain_scores_gemma":[0.9997838,0.00001708372,0.00007475889,0.00002065785,0.00005070959,0.00005310048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001850763,0.000105503,0.7216504,0.0006271375,0.000134781,0.0008854944,0.001058841,0.001090986,0.1872374,0.000807428,0.001063224,0.08515378],"study_design_scores_gemma":[0.000009718138,0.0001081259,0.981769,0.00001689448,0.0000389714,0.0004018049,0.000658081,0.0005764931,0.009927548,0.0001974179,0.006278498,0.00001739774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962685,0.0005802896,0.0007949601,0.00006785607,0.000006024889,0.00002135746,0.0004566004,0.00002343679,0.001780929],"genre_scores_gemma":[0.9961862,0.0004142425,0.0009400884,0.00003897469,0.000006325844,0.00001426458,0.0008559742,0.000003762095,0.001540244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01540562,"threshold_uncertainty_score":0.0306319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180825751346067,"score_gpt":0.2181299373029979,"score_spread":0.2000473621683912,"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."}}