{"id":"W4415926623","doi":"10.20885/jstl.vol16.iss1.art5","title":"PENGOLAHAN LIMBAH CAIR LABORATORIUM DENGAN ADSORPSI SERTA PRETREATMENT NETRALISASI DAN KOAGULASI","year":2025,"lang":"","type":"article","venue":"Jurnal Sains &Teknologi Lingkungan","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Chloride","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":[0.001095572,0.0008793494,0.000968936,0.0009774803,0.001062636,0.002294487,0.0007498744,0.0009843628,0.01772148],"category_scores_gemma":[0.0008024421,0.0006110627,0.0007501199,0.0007243065,0.0006436936,0.0009178035,0.000889451,0.00143225,0.005629491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167038,"about_ca_system_score_gemma":0.002405811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004184888,"about_ca_topic_score_gemma":0.007580315,"domain_scores_codex":[0.9987015,0.0001560807,0.00008577087,0.0002464064,0.0006687915,0.0001414449],"domain_scores_gemma":[0.9990356,0.0001567058,0.0001474417,0.0000988114,0.0004707941,0.00009065853],"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":[0.0007799337,0.0002382078,0.003245889,0.001148422,0.00004628145,0.0004802371,0.0004502188,0.0003928019,0.9028132,0.001387026,0.003337167,0.08568051],"study_design_scores_gemma":[0.00005524601,0.001388951,0.0107066,0.0001474046,0.0001341725,0.001117779,0.0005678883,0.001758682,0.8760948,0.0006438369,0.1073043,0.00008030025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6869502,0.03746597,0.1082127,0.005002761,0.001844665,0.002228087,0.004025979,0.005156918,0.1491127],"genre_scores_gemma":[0.6671306,0.01641122,0.09728739,0.001944262,0.000337816,0.000789249,0.002996164,0.0008145572,0.2122887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01772148,"threshold_uncertainty_score":0.05928421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118500999211045,"score_gpt":0.2648510602577991,"score_spread":0.2530009603366946,"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."}}