{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002081991,0.001314799,0.00120179,0.0006090507,0.001735795,0.000579547,0.001697628,0.001296361,0.000215296],"category_scores_gemma":[0.002044914,0.001279799,0.0005702145,0.003370569,0.0009868613,0.001066185,0.0008636924,0.00245989,0.000928755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003559825,"about_ca_system_score_gemma":0.0008437097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008076144,"about_ca_topic_score_gemma":0.00308709,"domain_scores_codex":[0.9909113,0.001492335,0.001946094,0.001958086,0.001517674,0.002174528],"domain_scores_gemma":[0.9957372,0.0004263489,0.0008982718,0.00168324,0.0002337893,0.001021141],"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":[0.0004791836,0.00310643,0.1838685,0.0002911018,0.001140769,0.0003678008,0.003572616,0.004524938,0.7154011,0.006495938,0.004178691,0.07657289],"study_design_scores_gemma":[0.002951627,0.001432756,0.4626507,0.0003849097,0.0007162543,0.00006128859,0.001669411,0.004265724,0.4485167,0.0006763806,0.07497509,0.001699103],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834224,0.002434147,0.0002546873,0.004659222,0.005039293,0.00180121,0.0001614609,0.0004201712,0.001807405],"genre_scores_gemma":[0.9883829,0.001754138,0.001159505,0.001770807,0.0008167738,0.00009999948,0.00007615621,0.00010997,0.005829726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2787822,"threshold_uncertainty_score":0.9999604,"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."}}