{"id":"W1943566249","doi":"10.29122/jai.v5i2.2444","title":"UJI KINERJA PENGOLAHAN AIR SIAP MINUM DENGAN PROSES BIOFILTRASI, ULTRAFILTRASI DAN REVERSE OSMOSIS (RO) DENGAN AIR BAKU AIR SUNGAI","year":2018,"lang":"en","type":"article","venue":"Jurnal Air Indonesia","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Reverse osmosis; Ultrafiltration (renal); Flocculation; Raw water; Water treatment; Environmental science; Pollutant; Powdered activated carbon treatment; Water quality; Coagulation; Membrane technology; Pulp and paper industry; Filtration (mathematics); Waste management; Chlorine; Chemistry; Activated carbon; Environmental engineering; Adsorption; Membrane; Chromatography","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":[0.0003129054,0.0007855214,0.0005836107,0.000643165,0.001366838,0.003283178,0.0005697197,0.0007305751,0.01630432],"category_scores_gemma":[0.0002967703,0.0003560061,0.0005992251,0.0007461683,0.0004832319,0.002105081,0.001562249,0.001345644,0.006024321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007732832,"about_ca_system_score_gemma":0.001490924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003575429,"about_ca_topic_score_gemma":0.005674986,"domain_scores_codex":[0.9995116,0.00003662144,0.00003414725,0.0001306768,0.0002061026,0.0000807979],"domain_scores_gemma":[0.999788,0.00002980857,0.00002883021,0.00001926902,0.00009745028,0.0000365968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007218918,0.0007597611,0.01060111,0.003138062,0.0001461382,0.001151555,0.001115231,0.002250224,0.2399836,0.01036368,0.02139016,0.7083787],"study_design_scores_gemma":[0.00009731911,0.0007979079,0.02490032,0.0006246057,0.0002770413,0.001926736,0.002833077,0.007367164,0.1967848,0.004907893,0.7592186,0.0002644959],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4678554,0.07789792,0.08160648,0.007750533,0.005969659,0.0006951028,0.003949834,0.005397439,0.3488776],"genre_scores_gemma":[0.7077127,0.03931573,0.05029034,0.001154006,0.0005535933,0.0003503186,0.002592192,0.0004586649,0.1975724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01630432,"threshold_uncertainty_score":0.05454338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174991605482476,"score_gpt":0.2388101301743269,"score_spread":0.2270602141195021,"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."}}