{"id":"W2000148297","doi":"10.1016/j.jhazmat.2008.12.019","title":"Removal of radioactive caesium from low level radioactive waste (LLW) streams using cobalt ferrocyanide impregnated organic anion exchanger","year":2008,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Chemical Synthesis and Characterization","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Ion exchange; Human decontamination; Radioactive waste; Ferrocyanide; Caesium; Cobalt; Actinide; Chemistry; Batch reactor; Wastewater; Waste management; Radiochemistry; Nuclear chemistry; Inorganic chemistry; Ion; Catalysis; Electrode","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":[0.0002646797,0.0002341774,0.0006344178,0.0000584801,0.0001062811,0.00003330362,0.0002614768,0.0001567191,0.003277511],"category_scores_gemma":[0.0001042028,0.0001929754,0.0001290737,0.0001681693,0.0001474097,0.0004632956,0.0001069506,0.0001238875,0.00002342575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005045904,"about_ca_system_score_gemma":0.00005249972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000559726,"about_ca_topic_score_gemma":0.00001368828,"domain_scores_codex":[0.9980147,0.0001735532,0.0007768702,0.0002417578,0.000521773,0.000271307],"domain_scores_gemma":[0.9983078,0.00008035003,0.001190104,0.0001964971,0.00007961069,0.0001456925],"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":[0.0003743636,0.0001587782,0.0004510245,0.00001321167,0.0000814164,0.0001704297,0.0005951652,0.00008114021,0.9966971,7.905102e-7,0.0001179035,0.001258732],"study_design_scores_gemma":[0.0007268194,0.0001090414,0.008759805,0.0001321353,0.00008774923,0.0008770824,0.0001787029,0.0001173638,0.9886536,0.00008098134,0.00007313845,0.0002036011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980047,0.0000752293,0.0009345069,0.00005540915,0.0004850007,0.0001557193,0.0001803207,0.00001130941,0.00009774668],"genre_scores_gemma":[0.9973468,0.0001624214,0.001977331,0.00004058365,0.0003539112,0.000001204465,0.00002076119,0.00003549476,0.00006154804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00830878,"threshold_uncertainty_score":0.9976336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683802666861242,"score_gpt":0.2200268071126184,"score_spread":0.193188780444006,"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."}}