{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009395495,0.0002720031,0.0002789278,0.0001182866,0.0003494529,0.0004325917,0.0002925433,0.0003227785,0.00119015],"category_scores_gemma":[0.0001502711,0.00012529,0.0002313361,0.0001022621,0.0002585773,0.0002006537,0.0005474042,0.0003330228,0.0001495003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005630436,"about_ca_system_score_gemma":0.0005516717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009511149,"about_ca_topic_score_gemma":0.02153136,"domain_scores_codex":[0.9998413,0.00001386854,0.000006687692,0.00002782587,0.00006355716,0.00004674988],"domain_scores_gemma":[0.9999038,0.000008081877,0.00002962245,0.000003645457,0.00002310951,0.00003168885],"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":[0.0004357912,0.0001018997,0.005174639,0.00006447433,0.00001042973,0.0002768772,0.0001155319,0.0003313214,0.9907258,0.00005143161,0.0001734273,0.002538424],"study_design_scores_gemma":[0.0000733058,0.004722487,0.09256806,0.00001936167,0.00006825805,0.0004156603,0.00141105,0.009580988,0.8855551,0.0002938735,0.005245074,0.00004676103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986595,0.00006140018,0.000476408,0.00006656782,0.00001282985,0.00002739381,0.0001136194,0.00004869579,0.0005336198],"genre_scores_gemma":[0.9963962,0.00008165227,0.001289948,0.0001164398,0.000006784648,0.00003479414,0.0001999967,0.00001115723,0.00186292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009511149,"threshold_uncertainty_score":0.01891154,"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."}}