{"id":"W2769678064","doi":"10.5539/enrr.v7n4p44","title":"Powerful Concentration of Rhodium in Plating Wastewater Using Homogeneous Liquid–Liquid Extraction (HoLLE) and Study for Scale-up","year":2017,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Rhodium; Wastewater; Homogeneous; Extraction (chemistry); Chromatography; Chemistry; Plating (geology); Phase (matter); Liquid phase; Liquid liquid; Liquid–liquid extraction; Volume (thermodynamics); Aqueous solution; Environmental engineering; Catalysis; Environmental science; Organic chemistry; Mathematics","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":[0.0005522118,0.0001004175,0.0001394554,0.0001071351,0.0003229578,0.000106822,0.00008794735,0.00007331845,0.00002768593],"category_scores_gemma":[0.00007255613,0.00009113911,0.00001850572,0.0000377324,0.0001198145,0.0003045702,0.0000555767,0.0002367439,0.000001673657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005369126,"about_ca_system_score_gemma":0.000006287361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003553666,"about_ca_topic_score_gemma":0.00004820011,"domain_scores_codex":[0.999019,0.00005745078,0.0002296809,0.0001974152,0.0002802121,0.0002161945],"domain_scores_gemma":[0.9995829,0.0001367799,0.00006008863,0.0001430443,0.0000235482,0.00005362701],"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":[0.001411843,0.0001103132,0.01191305,0.0001779378,0.0000382269,0.000007463552,0.007133369,0.004709809,0.9702669,0.00001118741,0.00004343196,0.004176424],"study_design_scores_gemma":[0.005957945,0.002692534,0.08511594,0.0002410379,0.00005408798,0.00004670755,0.01522974,0.1743974,0.6998384,0.00006954987,0.01554711,0.0008095867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99783,0.001192245,0.00006985356,0.00005288655,0.00009044837,0.0004630443,0.00000366723,0.00001197364,0.000285909],"genre_scores_gemma":[0.9987447,0.0003905463,0.0001579012,0.000002220916,0.00005792428,0.0000162012,0.000004381662,0.00001387914,0.0006122945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704285,"threshold_uncertainty_score":0.3716545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361649670176886,"score_gpt":0.3480853098984811,"score_spread":0.3044688131967122,"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."}}