{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007193676,0.0001981423,0.0002205772,0.0001622867,0.0005516396,0.0004614333,0.0001873542,0.00009686904,0.004247409],"category_scores_gemma":[0.00004010044,0.0001734879,0.00009067426,0.0003117786,0.0004934079,0.0002654663,0.00008230783,0.000303761,0.0005027948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006300941,"about_ca_system_score_gemma":0.00004462539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001036923,"about_ca_topic_score_gemma":0.000289292,"domain_scores_codex":[0.998536,0.00005152394,0.0004570336,0.0002971861,0.0003059105,0.0003523848],"domain_scores_gemma":[0.9989638,0.00001422266,0.0000759453,0.0007294973,0.0001015245,0.0001150498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002248896,0.00009978747,0.0003699826,0.0000669799,0.00005899226,0.0001440821,0.004304856,0.0001318083,0.9327581,0.0002991597,0.05064615,0.01109759],"study_design_scores_gemma":[0.0001286327,0.00003735251,0.002983204,0.00003547121,0.00001331503,0.0009731803,0.001791518,0.00111701,0.08955683,0.0005161906,0.9024304,0.0004169682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960205,0.0001484889,0.001245921,0.00004019472,0.01580057,0.0001313509,0.00001206902,0.0004128671,0.0220035],"genre_scores_gemma":[0.9869358,0.000009994288,0.0005270062,0.00001647228,0.0003783103,0.000003788243,0.00009032949,0.00002605667,0.01201222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8517842,"threshold_uncertainty_score":0.9966629,"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."}}