{"id":"W2748385787","doi":"10.1007/s10163-017-0659-4","title":"Removal of fluoride by effectively using spent cation exchange resin","year":2017,"lang":"en","type":"article","venue":"Journal of Material Cycles and Waste Management","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"New Energy and Industrial Technology Development Organization","keywords":"Fluoride; Adsorption; Chemistry; Ion-exchange resin; Chloride; Desorption; Inorganic chemistry; Sulfate; Coagulation; Ion exchange; Ion; Nuclear chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005883492,0.0001047098,0.0002020294,0.00003953424,0.0001708401,0.0001006716,0.0002028696,0.00003292036,0.0001115904],"category_scores_gemma":[0.00001111655,0.00007764421,0.00005212122,0.00002199019,0.0001079914,0.0002408438,0.000289995,0.00004621708,0.000003891603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007629529,"about_ca_system_score_gemma":0.00000247038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003491469,"about_ca_topic_score_gemma":0.000007480253,"domain_scores_codex":[0.9991185,0.00005485367,0.0002815876,0.0001237772,0.0002831938,0.0001381028],"domain_scores_gemma":[0.9992266,0.00001047779,0.0005194555,0.0001709819,0.00001061786,0.00006189466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009058084,0.0001862842,0.002496619,0.0004434467,0.0001519068,0.0005249685,0.0002944764,0.0007150699,0.8740134,0.00021551,0.004836283,0.1152162],"study_design_scores_gemma":[0.00679613,0.001851551,0.4686069,0.001289596,0.0006755462,0.00117812,0.0008334697,0.003138631,0.4611383,0.00192141,0.05161384,0.0009565395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968244,0.0001009525,0.0001900006,0.0001376534,0.0007239517,0.0001674117,0.000006138082,0.000002323642,0.001847146],"genre_scores_gemma":[0.9967287,0.0002150006,0.002526882,0.00001620049,0.0002227342,6.573374e-7,8.734585e-7,0.0000102757,0.0002786285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4661103,"threshold_uncertainty_score":0.3166239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055211498203834,"score_gpt":0.2424145060498678,"score_spread":0.2318623910678295,"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."}}