{"id":"W7021014382","doi":"","title":"
\\nKAJIAN STATUS MUTU AIR SUNGAI 
\\nMENGGUNAKAN METODE CANADIAN COUNCIL OF MINISTERS OF THE ENVIRONMENT – WATER QUALITY INDEX (CCME-WQI) DAN OREGON WATER QUALITY INDEX (OWQI)
\\n
\\n
\\nStudi Kasus : Sungai Klampok, Kabupaten Semarang
\\n","year":2019,"lang":"id","type":"dissertation","venue":"UNDIP Institutional Repository (UNDIP-IR) (Diponegoro University)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Box–Jenkins; Air quality index; Water quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002079083,0.0003445944,0.0002703714,0.000953599,0.003761327,0.00568825,0.0008552407,0.001191279,0.0547168],"category_scores_gemma":[0.003146706,0.0001807659,0.0003406616,0.001260506,0.001486329,0.002371388,0.002437308,0.001480859,0.009272484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0102232,"about_ca_system_score_gemma":0.02448557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3204541,"about_ca_topic_score_gemma":0.5009776,"domain_scores_codex":[0.9974596,0.0001927746,0.0001003892,0.0002899808,0.001450873,0.0005064208],"domain_scores_gemma":[0.9969937,0.0002679123,0.000147042,0.0001419808,0.001963792,0.0004857052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002680946,0.0002505641,0.06607601,0.0009006817,0.00005945241,0.0006729152,0.009276582,0.000664728,0.01007164,0.08352022,0.5370608,0.2911783],"study_design_scores_gemma":[0.000009039298,0.00003731401,0.03272685,0.000227438,0.00002832635,0.00006784828,0.01003634,0.0003389349,0.002865093,0.002733434,0.950878,0.00005145181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05599093,0.002680055,0.003531117,0.04641664,0.003656587,0.0003725766,0.005407085,0.0003094393,0.8816355],"genre_scores_gemma":[0.3045836,0.005155927,0.006691727,0.004924627,0.0003795422,0.000293248,0.004345057,0.0003945701,0.6732317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3204541,"threshold_uncertainty_score":0.6371776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696140250030564,"score_gpt":0.2307223236894933,"score_spread":0.2037609211891877,"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."}}