{"id":"W2174572247","doi":"10.1007/s11356-015-5829-0","title":"Assessment of factors limiting algal growth in acidic pit lakes—a case study from Western Australia, Australia","year":2015,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Golder Associates (Canada)","funders":"Edith Cowan University; Australian Coal Industry’s Research Program","keywords":"Microcosm; Nutrient; Phosphorus; Environmental science; Acid mine drainage; Biomass (ecology); Sediment; Algal bloom; Water quality; Benthic zone; Environmental chemistry; Phytoplankton; Ecotoxicology; Ecology; Chemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004625917,0.0003671476,0.0003285454,0.0006493692,0.001573944,0.0008958106,0.0004481628,0.0004956876,0.0003129886],"category_scores_gemma":[0.0008652148,0.000277299,0.0003074422,0.0009142987,0.0006375344,0.0004090454,0.0007382316,0.0002673757,0.00007014468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002295937,"about_ca_system_score_gemma":0.001623218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2731943,"about_ca_topic_score_gemma":0.5081535,"domain_scores_codex":[0.9996567,0.00008033308,0.00002478376,0.00004687472,0.0001303684,0.00006093279],"domain_scores_gemma":[0.9994134,0.0001124399,0.0001286254,0.00001608487,0.0002630059,0.00006639444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004787416,0.0008335002,0.8645243,0.0005159644,0.0001854753,0.01266774,0.02619081,0.00412662,0.05322564,0.0004760273,0.0004249615,0.03635037],"study_design_scores_gemma":[0.00001037721,0.0005811725,0.9719624,0.0000407437,0.00008443088,0.001161966,0.01819548,0.00320337,0.002783939,0.0001246638,0.001833516,0.00001800018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991979,0.00003538697,0.00009351532,0.00001997279,5.448045e-7,0.00001874567,0.00001485695,9.805585e-7,0.0006180464],"genre_scores_gemma":[0.998175,0.000192823,0.0007550991,0.00002677691,0.000002129703,0.00001435286,0.0000383882,0.000001163039,0.0007942604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2731943,"threshold_uncertainty_score":0.5432084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225614966642067,"score_gpt":0.4008061320765737,"score_spread":0.278244635412367,"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."}}