{"id":"W2338955548","doi":"10.3390/min6020036","title":"Seasonal Microbial Population Shifts in a Bioremediation System Treating Metal and Sulfate-Rich Seepage","year":2016,"lang":"en","type":"article","venue":"Minerals","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia","keywords":"Bioremediation; Biosolids; Population; Sulfate; Organic matter; Environmental chemistry; Microorganism; Environmental science; Ecology; Biology; Contamination; Chemistry; Environmental engineering; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003033963,0.0001006315,0.000126446,0.00006738996,0.00004594271,0.00001793974,0.00005824817,0.0000659935,0.0001898164],"category_scores_gemma":[0.00005920044,0.00006756264,0.00002373644,0.0001569866,0.00003330378,0.0002519111,0.00005127343,0.00003368953,0.00004347577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540398,"about_ca_system_score_gemma":0.000002777982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005315624,"about_ca_topic_score_gemma":0.0003740879,"domain_scores_codex":[0.999168,0.0000713622,0.0002180635,0.000220444,0.0001580653,0.00016411],"domain_scores_gemma":[0.999726,0.00004505755,0.0000876541,0.00008858739,0.000005671222,0.00004706082],"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":[0.000007863379,0.00001745507,0.07196792,0.00001174161,0.00000259898,0.000005855848,0.0001961012,0.000005184328,0.9216762,0.0001179542,0.0003914413,0.005599673],"study_design_scores_gemma":[0.002548154,0.0001739435,0.7017445,0.0002622217,0.0000467195,0.00002668319,0.0002131373,0.003289879,0.2887509,0.0006279653,0.001551059,0.0007647629],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976047,0.00002565551,0.0002594526,0.000274776,0.00004635574,0.0001904299,0.00001108354,0.00006437545,0.001523137],"genre_scores_gemma":[0.998086,0.000008835194,0.0009881991,0.00003419853,0.00007985582,0.00002256448,0.00002541813,0.000009021312,0.0007459593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6329253,"threshold_uncertainty_score":0.2755124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007803857883329711,"score_gpt":0.2179282385291471,"score_spread":0.2101243806458174,"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."}}