{"id":"W4377099171","doi":"10.1002/cjce.24963","title":"Pretreatment with fine bubbles for effective zinc ion precipitation and removal from zinc electroplating wastewater","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Degreasing; Wastewater; Materials science; Electroplating; Bubble; Zinc; Waste management; Metallurgy; Pulp and paper industry; Environmental science; Environmental engineering; Composite material; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001337282,0.0003697116,0.0002989906,0.0002308802,0.0001389437,0.000223663,0.0001800407,0.0003697433,0.001006572],"category_scores_gemma":[0.0002287942,0.0001692414,0.0002846658,0.0001145927,0.0001336929,0.0002642724,0.0002350834,0.0003230423,0.0002357127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001634045,"about_ca_system_score_gemma":0.0001518738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009843047,"about_ca_topic_score_gemma":0.001542245,"domain_scores_codex":[0.9998773,0.00001352637,0.00001388369,0.00002707758,0.00004381557,0.00002436245],"domain_scores_gemma":[0.9999291,0.00001608568,0.00001872664,0.000006780827,0.00001936451,0.00001003388],"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":[0.00001870577,0.00000856387,0.00003906787,0.00003116488,0.000001715483,0.00001544547,0.000005849144,0.00004948277,0.9983183,0.00001770701,0.00002199927,0.001472145],"study_design_scores_gemma":[0.000004452746,0.00008847986,0.0004762973,0.000002322137,0.00000505327,0.00002915704,0.000007249183,0.0007937864,0.9978638,0.00001499894,0.0007110958,0.000003399834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797793,0.002134446,0.0162733,0.000170303,0.00008822887,0.00007231386,0.000119488,0.0001835415,0.00117907],"genre_scores_gemma":[0.9909924,0.0006616549,0.007104345,0.00003900643,0.00001056309,0.00002500355,0.00008869416,0.0000252262,0.001053133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001006572,"threshold_uncertainty_score":0.003367305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005769994744661544,"score_gpt":0.1989887600387432,"score_spread":0.1932187652940816,"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."}}