{"id":"W4214598427","doi":"10.3390/microorganisms10030510","title":"Alum Addition Triggers Hypoxia in an Engineered Pit Lake","year":2022,"lang":"en","type":"article","venue":"Microorganisms","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; McMaster University; University of Toronto","funders":"Syncrude; Canada's Oil Sands Innovation Alliance; Natural Sciences and Engineering Research Council of Canada; Fondo Nacional de Desarrollo Científico y Tecnológico; Agencia Nacional de Investigación y Desarrollo; Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Alum; Tailings; Environmental science; Anoxic waters; Biogeochemical cycle; Hypolimnion; Environmental chemistry; Eutrophication; Nutrient; Chemistry; Ecology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002215512,0.00008914481,0.00008769335,0.00006739017,0.0001156816,0.00001595158,0.0002104825,0.00003622086,0.03063958],"category_scores_gemma":[0.00001143234,0.0000944327,0.00002706792,0.0003042689,0.00003408466,0.000148103,0.0001294419,0.00014647,0.0001852314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584435,"about_ca_system_score_gemma":0.000008687694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000633525,"about_ca_topic_score_gemma":0.0003169943,"domain_scores_codex":[0.9991902,0.00006497232,0.000153059,0.000219341,0.0001903271,0.0001821737],"domain_scores_gemma":[0.9997145,0.00001236607,0.00004188709,0.0001768874,0.000002910926,0.00005145961],"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":[0.000006425334,0.0001187364,0.0004947762,0.000001946483,0.000001613821,0.00002792047,0.000913369,0.0002105708,0.9797663,0.00003882908,0.01545002,0.002969485],"study_design_scores_gemma":[0.000940048,0.0004112989,0.01869578,0.000004593736,0.00001121053,0.00004347345,0.0009472404,0.0005331304,0.6914311,0.001883401,0.2845645,0.000534156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995726,0.00002001989,0.0005962876,0.0003090843,0.0001203104,0.0002521634,0.00007306502,0.0001547409,0.002748293],"genre_scores_gemma":[0.9966822,0.000005347743,0.001477914,0.0004660577,0.00003218308,0.00005493263,0.0002175096,0.00001820524,0.001045698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2883352,"threshold_uncertainty_score":0.9702466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005748927920444475,"score_gpt":0.1977512272092345,"score_spread":0.19200229928879,"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."}}