{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001308578,0.00006647382,0.0000812787,0.00003776086,0.00005234022,0.00002917309,0.00005353305,0.00002749512,0.00003213663],"category_scores_gemma":[0.00007187506,0.00004356422,0.00002055731,0.00009401052,0.0000262,0.0000867242,0.00000628413,0.0000710443,0.000002534152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444087,"about_ca_system_score_gemma":0.00001796676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000799569,"about_ca_topic_score_gemma":0.001008336,"domain_scores_codex":[0.9995885,0.00001090313,0.0001197023,0.00006781522,0.00009005587,0.0001229947],"domain_scores_gemma":[0.9996684,0.0001181598,0.00005092565,0.00004362554,0.0000142212,0.0001047215],"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":[0.00003876315,0.000003073113,0.0006148323,0.000007997426,0.00003029653,0.00001017794,0.001058364,0.01551917,0.9784297,0.0001151952,0.0007163798,0.003456042],"study_design_scores_gemma":[0.0004509769,0.0001795866,0.002213786,0.00006162698,0.00002833025,0.00004965829,0.00002379061,0.0474943,0.9475418,0.0007028204,0.001136786,0.00011649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980858,0.00003091832,0.001241236,0.0003797762,0.00002467158,0.0001649288,0.000004896801,0.00001563941,0.00005210694],"genre_scores_gemma":[0.9952741,0.000001334666,0.004568678,0.0000193697,0.00005302126,0.00001569247,0.00001021288,0.000009363699,0.00004827984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03197514,"threshold_uncertainty_score":0.1776497,"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."}}