{"id":"W2005588986","doi":"10.1016/j.watres.2012.11.048","title":"Removal of phosphorus, fluoride and metals from a gypsum mining leachate using steel slag filters","year":2012,"lang":"en","type":"article","venue":"Water Research","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Tartu Ülikool; Polytechnique Montréal","keywords":"Effluent; Fluoride; Gypsum; Zinc; Phosphorus; Leachate; Chemistry; Manganese; Slag (welding); Fluorapatite; Nuclear chemistry; Apatite; Metallurgy; Environmental chemistry; Mineralogy; Environmental engineering; Materials science; Inorganic chemistry; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001766358,0.0001269617,0.0001893536,0.0000786042,0.0001802139,0.00004490525,0.0002563897,0.00004940588,0.0007776078],"category_scores_gemma":[0.00002726237,0.00009219478,0.00004598709,0.0001841246,0.0002757182,0.0003583295,0.001045318,0.0001563514,0.0002363433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001190627,"about_ca_system_score_gemma":0.000004273624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00356369,"about_ca_topic_score_gemma":0.00001558704,"domain_scores_codex":[0.9978126,0.0001486503,0.0002260767,0.0003094173,0.0007344916,0.0007688123],"domain_scores_gemma":[0.9994088,0.0000372429,0.0000364225,0.000318464,0.0000123398,0.0001866613],"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":[0.0002245088,0.0002889013,0.1031599,0.00003360906,0.0001080681,0.00008515413,0.008335641,0.0000760101,0.8670045,0.0001397558,0.003195399,0.01734859],"study_design_scores_gemma":[0.001023022,0.0001405955,0.0344968,0.00007118649,0.0000502732,0.00002263063,0.001360021,0.002972828,0.7282224,0.0006622979,0.2306046,0.0003733535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99568,0.0009439174,0.00007479372,0.0001341084,0.0001155818,0.0002457244,0.00001085605,0.00001266343,0.002782362],"genre_scores_gemma":[0.9947977,0.0001584384,0.003172688,0.00003062621,0.00004776696,0.00001089885,0.00001103961,0.00001906897,0.001751774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2274092,"threshold_uncertainty_score":0.851426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08231463286755254,"score_gpt":0.3190671258086701,"score_spread":0.2367524929411176,"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."}}