{"id":"W4405669323","doi":"10.20527/jukung.v10i2.20686","title":"ANALISIS KEHILANGAN AIR DENGAN METODE NERACA AIR DAN INFRASTRUCTURE LEAKAGE INDEX (ILI) PADA PERUMDA AIR MINUM KOTA SURAKARTA","year":2024,"lang":"id","type":"article","venue":"Jukung (Jurnal Teknik Lingkungan)","topic":"Water and Land Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Index (typography); Leakage (economics); Computer science; World Wide Web","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":[0.0007081912,0.0004156292,0.0004004946,0.001547636,0.0004735428,0.001748928,0.0004118106,0.0004660721,0.008434474],"category_scores_gemma":[0.001819419,0.0002413858,0.0008875605,0.002709363,0.0003446869,0.001323218,0.0009113972,0.0008548391,0.001758031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007669071,"about_ca_system_score_gemma":0.0008853648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0250884,"about_ca_topic_score_gemma":0.03941778,"domain_scores_codex":[0.9991477,0.0001403247,0.00006987144,0.0001638206,0.0003676235,0.0001107151],"domain_scores_gemma":[0.9979591,0.0006269154,0.0003833994,0.00009805559,0.0008290806,0.0001033435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00061317,0.0001619693,0.8662708,0.001785667,0.0004874072,0.0009037937,0.003264282,0.002908964,0.01303105,0.002045315,0.01428738,0.09424018],"study_design_scores_gemma":[0.0000110542,0.0002867348,0.9261394,0.0002773,0.0002626528,0.0006098724,0.01003782,0.002490101,0.007616092,0.0007381671,0.05145983,0.00007100455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263092,0.003788917,0.005827551,0.00118958,0.0001429628,0.0001787327,0.02657539,0.0002904689,0.0356972],"genre_scores_gemma":[0.9625251,0.002107598,0.004100418,0.0002125641,0.00005203179,0.0001703914,0.01133584,0.00007273797,0.0194234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0250884,"threshold_uncertainty_score":0.04988474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00749555085496394,"score_gpt":0.225508792415092,"score_spread":0.218013241560128,"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."}}