{"id":"W1990910806","doi":"10.1080/09593330309385552","title":"Comparison of natural adsorbents for metal removal from acidic effluent","year":2003,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Institut National d'Optique","funders":"","keywords":"Vermiculite; Adsorption; Perlite; Chemistry; Metal; Chromium; Nuclear chemistry; Effluent; Waste management; Metallurgy; Materials science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001119467,0.0002161016,0.0003250208,0.00008823443,0.000100345,0.000005711568,0.0002941111,0.000218598,0.003542586],"category_scores_gemma":[0.00003847638,0.0001983192,0.0001550213,0.0001779624,0.0008309514,0.0001014771,0.0001563533,0.0001977933,0.0005589712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927602,"about_ca_system_score_gemma":0.000004279842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001655965,"about_ca_topic_score_gemma":0.00001454808,"domain_scores_codex":[0.9984822,0.00004215971,0.0004078746,0.000431058,0.0003051863,0.0003315555],"domain_scores_gemma":[0.9993575,0.00003065388,0.0002083659,0.0003304447,0.000001552425,0.00007146575],"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":[0.00005041792,0.0003818991,0.07332046,0.000002724568,0.00004204333,0.000003972676,0.00006852311,0.00003857878,0.9137372,0.00147846,0.000372594,0.01050306],"study_design_scores_gemma":[0.001607789,0.0003153419,0.01721413,0.000008554207,0.00006410534,0.00006397482,0.000845262,0.0006359306,0.8894141,0.003496483,0.08594373,0.0003905883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967583,0.0003915268,0.00078117,0.0001822677,0.0003008478,0.000375524,0.00009567223,0.00008765014,0.001027071],"genre_scores_gemma":[0.990782,0.000021654,0.008140701,0.00007738026,0.0000144899,0.00002110181,0.00004948255,0.00002162747,0.0008715485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08557113,"threshold_uncertainty_score":0.9973683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260092715924493,"score_gpt":0.2645831925318382,"score_spread":0.2519822653725932,"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."}}