{"id":"W4404893512","doi":"10.1016/j.rineng.2024.103587","title":"Use of mussel shells for removal of arsenic from water: Kinetics and equilibrium experimental investigation","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Mussel; Arsenic; Kinetics; Environmental chemistry; Chemistry; Environmental science; Fishery; Metallurgy; Materials science; Biology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003822934,0.0004599096,0.0003522646,0.0002215722,0.0002979002,0.0002795729,0.0002667448,0.0004554585,0.0005975905],"category_scores_gemma":[0.0003773529,0.0001972315,0.0005388999,0.0002569016,0.0001760005,0.0002692937,0.0002715981,0.0003440141,0.0002401899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002852026,"about_ca_system_score_gemma":0.0002774982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003534894,"about_ca_topic_score_gemma":0.006618847,"domain_scores_codex":[0.9997615,0.00003320541,0.00002343187,0.00005627397,0.00009652389,0.00002900072],"domain_scores_gemma":[0.9998343,0.0000417626,0.00003266154,0.00001688112,0.00006219678,0.00001218583],"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":[0.00005883108,0.00004821448,0.000440431,0.0001400638,0.000009624778,0.00004860357,0.00004059106,0.0006656502,0.9968889,0.00003189686,0.00001979522,0.001607401],"study_design_scores_gemma":[0.000008966362,0.0006377159,0.002923656,0.000008401152,0.00002189246,0.0000787533,0.00004652266,0.002955617,0.9925092,0.00002506129,0.0007683696,0.0000157555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962251,0.0003312033,0.002415323,0.00002664515,0.000007587525,0.0000397628,0.0001370535,0.00002699278,0.0007902938],"genre_scores_gemma":[0.9905261,0.0006616267,0.006357517,0.00002414051,0.000003621086,0.00004815473,0.0001725553,0.00001610783,0.002190094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003534894,"threshold_uncertainty_score":0.007028639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188176953041936,"score_gpt":0.2249706786995191,"score_spread":0.2061529833953255,"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."}}