{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008554017,0.0001571091,0.0002076881,0.00007322725,0.000130519,0.00007322543,0.0002540453,0.0001126908,0.00005463147],"category_scores_gemma":[0.00006786641,0.000140633,0.00002365335,0.0004220494,0.0007320715,0.000676206,0.0002067571,0.0001238868,0.0000769336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001710453,"about_ca_system_score_gemma":0.00008468409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000678029,"about_ca_topic_score_gemma":0.00003931792,"domain_scores_codex":[0.9978211,0.00006093506,0.0003492358,0.0005189136,0.0009378542,0.0003119673],"domain_scores_gemma":[0.9992537,0.0000229831,0.0001773694,0.0002709943,0.00001339118,0.0002615769],"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":[0.0000402039,0.0000375052,0.001276324,0.000001153669,0.000002760316,1.045188e-7,0.0005666569,0.002802106,0.9931498,0.00002041334,0.0002620273,0.001840951],"study_design_scores_gemma":[0.0006789554,0.00004414675,0.002188734,0.000005532816,0.00001859972,0.000001512754,0.0001112753,0.2129106,0.7828109,0.0008923279,0.0001514975,0.0001859463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894533,0.00002786458,0.008144987,0.00009285784,0.0002098527,0.0003579443,0.00002796118,0.00002674298,0.001658468],"genre_scores_gemma":[0.9977257,0.00000341241,0.002011565,0.00009338118,0.0000722205,0.0000106584,0.00001809146,0.00001079566,0.0000541636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.210339,"threshold_uncertainty_score":0.5734847,"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."}}