{"id":"W4392372319","doi":"10.1002/cjce.25230","title":"An overview of metals extraction and recovery from industrial wastewater sludge","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Industrial wastewater treatment; Waste management; Leaching (pedology); Environmental science; Extraction (chemistry); Sewage sludge; Sewage treatment; Chemistry; Environmental engineering; Engineering; Chromatography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001615272,0.00007996601,0.0001375719,0.0001133364,0.00001525417,0.00008383355,0.000083097,0.00008087177,0.0001159138],"category_scores_gemma":[0.00004874625,0.00006156191,0.00004664348,0.0001117964,0.00001656335,0.0003552851,0.000002257145,0.0002998781,0.000002238877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006246263,"about_ca_system_score_gemma":0.00009181468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002530749,"about_ca_topic_score_gemma":0.00008663054,"domain_scores_codex":[0.9994987,0.000008375754,0.0002537116,0.00005088042,0.00008837537,0.00009991491],"domain_scores_gemma":[0.9996162,0.00008563354,0.000028844,0.0000655121,0.00003018664,0.0001736154],"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":[0.000008846963,0.000003339555,0.00001308316,0.0001090004,0.0001574376,0.00002254352,0.0003686482,0.06183556,0.9318931,0.0003624927,0.001134748,0.004091219],"study_design_scores_gemma":[0.0002239465,0.00003871476,0.0000756278,0.0003507747,0.0001150239,0.0002004124,0.00004160826,0.06854788,0.8986619,0.0005774612,0.03096956,0.0001970955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877574,0.01032873,0.0006460717,0.0001745869,0.0008574157,0.00003532912,0.00001824628,0.00003011169,0.0001520614],"genre_scores_gemma":[0.9993594,0.000107876,0.000188644,0.00001300507,0.0002917356,9.174155e-7,0.000003488092,0.00001644868,0.00001848018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03323119,"threshold_uncertainty_score":0.2510422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448432000551223,"score_gpt":0.2624589581482576,"score_spread":0.2176157580931353,"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."}}