{"id":"W1567524444","doi":"10.5539/mas.v9n7p86","title":"Separation of Heavy Metals Copper (Cu) and Nickel (Ni) from Industrial Wastewater by Adsorption Using Chitosan Shrimp Shell","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chitosan; Adsorption; Industrial wastewater treatment; Nickel; Atomic radius; Wastewater; Copper; Shrimp; Nuclear chemistry; Metal; Chemistry; Materials science; Chemical engineering; Metallurgy; Organic chemistry; Environmental engineering; Environmental science; Fishery","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":[0.0001455916,0.000450003,0.0001975718,0.000286736,0.0002182169,0.0002167998,0.0002653365,0.0003005803,0.0007867803],"category_scores_gemma":[0.0001918371,0.0002065985,0.0003809824,0.0002422303,0.0001176585,0.0002508355,0.000248187,0.0002351699,0.0003086145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711461,"about_ca_system_score_gemma":0.0002302532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003725685,"about_ca_topic_score_gemma":0.00414414,"domain_scores_codex":[0.9998641,0.00001320641,0.00001161662,0.00002626518,0.00006050818,0.00002424498],"domain_scores_gemma":[0.9999486,0.000007933614,0.00001083864,0.00000447323,0.00001916824,0.000008980845],"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":[0.00004609851,0.00003273326,0.0003469943,0.0001005065,0.0000063026,0.00002887796,0.00001752536,0.0001546442,0.9955259,0.0000241373,0.00004741895,0.003668935],"study_design_scores_gemma":[0.00001335902,0.0001846531,0.002662756,0.00000563414,0.00001328568,0.00008295551,0.00002066021,0.001820075,0.9942821,0.00001740786,0.0008886422,0.000008469477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874132,0.001452983,0.008281775,0.0001424193,0.00002806065,0.00005816488,0.0001261257,0.0001066638,0.002390615],"genre_scores_gemma":[0.9831644,0.001310409,0.01015308,0.00006523074,0.00001113682,0.00003850552,0.0002540109,0.00001532203,0.004987922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003725685,"threshold_uncertainty_score":0.007407963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05498065305122821,"score_gpt":0.2783855407091111,"score_spread":0.2234048876578829,"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."}}