{"id":"W4280543627","doi":"10.1007/s11356-022-20604-4","title":"Improvement of water recovery from phosphate sludge at the M'Dhilla Mine, Tunisia","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Enseignement Supérieur et de la Recherche Scientifique; Ministère de l’Enseignement Supérieur et de la Recherche Scientifique","keywords":"Flocculation; Beneficiation; Phosphate; Settling; Chemistry; Wastewater; Environmental science; Produced water; Water treatment; Sewage treatment; Pulp and paper industry; Environmental engineering; Waste management","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003156641,0.0001158858,0.0001030051,0.00007678392,0.002140655,0.00004672582,0.0006343626,0.00002061016,0.01519489],"category_scores_gemma":[0.00001392622,0.000074985,0.00004238991,0.0004480144,0.002221884,0.0002418481,0.004410543,0.000206362,0.0003300339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176927,"about_ca_system_score_gemma":0.00001586443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00237148,"about_ca_topic_score_gemma":0.0000549012,"domain_scores_codex":[0.996286,0.0001189472,0.0002182404,0.0005233059,0.002255075,0.0005984643],"domain_scores_gemma":[0.9993418,0.00003792167,0.00005532675,0.0004168561,0.000004084343,0.0001439502],"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":[0.0001361095,0.0001987646,0.01321892,0.000002280449,0.0000109139,0.000005426949,0.000875654,0.0006296545,0.9494945,0.00006914524,0.01083565,0.02452299],"study_design_scores_gemma":[0.0006290989,0.0007458237,0.1903021,0.000003812728,0.00001171749,0.000004404556,0.002150573,0.0005814575,0.4380134,0.001090838,0.3662297,0.0002370155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925011,0.0002931474,0.000004981922,0.002251355,0.0001443556,0.0004643902,0.0001054668,0.000006880627,0.004228308],"genre_scores_gemma":[0.9939626,0.0003821439,0.00002145171,0.0004807186,0.00001616004,0.00008347314,0.00002097936,0.000007772153,0.005024716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.511481,"threshold_uncertainty_score":0.9991584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560683007764585,"score_gpt":0.2487770823573002,"score_spread":0.2331702522796543,"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."}}