{"id":"W2914860570","doi":"10.1016/j.apgeochem.2019.01.014","title":"Efficiency of batch biochemical reactors for mine drainage treatment at low temperature and high salinity","year":2019,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Acid mine drainage; Drainage; Salinity; Sulfate; Sawdust; Environmental science; Environmental chemistry; Chemistry; Environmental engineering; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006326326,0.0005349827,0.0006204188,0.000268936,0.0002861182,0.0009039191,0.0005528239,0.0006771616,0.000722077],"category_scores_gemma":[0.001015977,0.0003510996,0.0004228977,0.000271189,0.0003035968,0.000505397,0.0003299787,0.000733799,0.0005125732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006040116,"about_ca_system_score_gemma":0.0005868152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002747578,"about_ca_topic_score_gemma":0.00322775,"domain_scores_codex":[0.9995182,0.0000864407,0.00004914081,0.00009468428,0.0001846923,0.0000669771],"domain_scores_gemma":[0.9993406,0.0002911469,0.00006964674,0.00006599645,0.0001601554,0.0000724908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004649058,0.0001381176,0.0006122745,0.00006345842,0.00001510858,0.00001401627,0.00002473284,0.0005645495,0.9937173,0.00003904396,0.00005361714,0.00429269],"study_design_scores_gemma":[0.00001108686,0.000236781,0.001031364,0.000002636693,0.00001623041,0.00002454297,0.00001432409,0.001576612,0.9968659,0.00001351067,0.0002002133,0.000006764169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933827,0.0005524202,0.004755595,0.0001016138,0.00005029644,0.00003613624,0.0002473301,0.0001424812,0.0007315392],"genre_scores_gemma":[0.9931484,0.0004235442,0.00412007,0.00002696333,0.00001140732,0.00002690788,0.0002750299,0.00003614606,0.001931579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002747578,"threshold_uncertainty_score":0.005463183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003501830061827538,"score_gpt":0.2024168161115252,"score_spread":0.1989149860496977,"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."}}