{"id":"W3023425702","doi":"10.1002/opfl.1369","title":"Biological Ion Exchange Provides DOC Removal in Small Communities","year":2020,"lang":"en","type":"article","venue":"Opflow","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ion exchange; Process (computing); Environmental science; Computer science; Chemistry; Ion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009439696,0.0001166023,0.0001277785,0.00001533931,0.00006408212,0.00002422906,0.000201844,0.00005825166,0.001531165],"category_scores_gemma":[0.000007987916,0.00008557955,0.00004488435,0.000125341,0.0001093888,0.00008580986,0.0002196987,0.0001017934,0.0006756712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005570339,"about_ca_system_score_gemma":0.000003362938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007552634,"about_ca_topic_score_gemma":0.0005197397,"domain_scores_codex":[0.9993271,0.00009666468,0.0001180905,0.0001578275,0.00008331886,0.0002169822],"domain_scores_gemma":[0.9997559,0.00002777593,0.00002413645,0.0001259951,0.00000181866,0.0000643831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006196783,0.0006844898,0.6946097,0.00007113441,0.00005202804,0.001104323,0.02231973,0.0003699854,0.2159908,0.0002463376,0.004989598,0.05894215],"study_design_scores_gemma":[0.009811498,0.004474163,0.4194665,0.0002187064,0.0001020086,0.0003959856,0.01180562,0.01530739,0.1991441,0.006816808,0.3293956,0.003061645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937719,0.00009906736,0.00001117943,0.001047811,0.00004604045,0.0001803536,0.0000046808,0.00005083572,0.0047881],"genre_scores_gemma":[0.9924179,0.00005342157,0.006551674,0.0004903479,0.0000675357,0.00001670918,0.00002373061,0.000008910548,0.0003697748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.324406,"threshold_uncertainty_score":0.9993815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05615238603073096,"score_gpt":0.2271784878486977,"score_spread":0.1710261018179667,"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."}}