{"id":"W2295915860","doi":"10.2166/ws.2002.0159","title":"A comparison of conventional and non-conventional treatment technologies on arsenic removal from water","year":2002,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Arsenic; Microfiltration; Adsorption; Chemistry; Flocculation; Filtration (mathematics); Water treatment; Membrane; Iron oxide; Sand filter; Permeation; Chromatography; Membrane technology; Nuclear chemistry; Environmental engineering; Wastewater; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002438235,0.0002451709,0.000257167,0.0004584527,0.0001983856,0.000267082,0.000333602,0.0003409203,0.0009198626],"category_scores_gemma":[0.0002709582,0.0001011139,0.000306594,0.0003603442,0.0001634607,0.0004532069,0.0001869244,0.0001540264,0.0001852362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186235,"about_ca_system_score_gemma":0.0002348298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008212927,"about_ca_topic_score_gemma":0.002782679,"domain_scores_codex":[0.9997204,0.00003384215,0.00001351605,0.00004807105,0.0001606321,0.00002360259],"domain_scores_gemma":[0.999889,0.00003504365,0.00002009982,0.00001062789,0.00003834667,0.000006755383],"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":[0.0002205622,0.0001579161,0.00109985,0.001418459,0.00007054631,0.00009680092,0.00006624349,0.0009276188,0.9484023,0.000268145,0.000157799,0.04711373],"study_design_scores_gemma":[0.00002356848,0.001542626,0.008823076,0.00002782859,0.0001559448,0.0002751321,0.00008635366,0.002815521,0.9757068,0.0001053532,0.01041577,0.00002188827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663988,0.0138313,0.01558322,0.00009961477,0.00009875251,0.00008530301,0.0001583584,0.00009944126,0.003645293],"genre_scores_gemma":[0.9653522,0.011232,0.01879856,0.00007636869,0.00004408767,0.00006445723,0.0002485717,0.00002448607,0.004159229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009198626,"threshold_uncertainty_score":0.003077209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510510157415606,"score_gpt":0.2443499513148222,"score_spread":0.2292448497406661,"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."}}