{"id":"W4390888419","doi":"10.32672/jse.v9i1.714","title":"Penentuan Status Mutu Air Sungai Wrati Pasuruan Jawa Timur dengan Indeks Kualitas Air","year":2023,"lang":"en","type":"article","venue":"Jurnal Serambi Engineering","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Environmental science; Water quality; Pollution; Water resource management; Hydrology (agriculture); Pollutant; River pollution; Environmental engineering; Engineering","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004435243,0.0003038625,0.0002822894,0.0001264407,0.000174141,0.00006919612,0.0003193833,0.000115476,0.0005276447],"category_scores_gemma":[0.00004854503,0.0003024522,0.0001271779,0.0007574506,0.00002599818,0.0003807002,0.0004148609,0.0004065911,0.00109233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002480855,"about_ca_system_score_gemma":0.00002187971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001677794,"about_ca_topic_score_gemma":0.000776666,"domain_scores_codex":[0.9977334,0.00005076526,0.0004209825,0.0004015746,0.0005644207,0.0008288295],"domain_scores_gemma":[0.9991075,0.00007020685,0.00008217611,0.0003532417,0.00001379898,0.0003731058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004892672,0.0001649262,0.2130632,0.0002459188,0.0001783674,0.0005541872,0.002171417,0.6993262,0.0451317,0.000535398,0.01504263,0.02353709],"study_design_scores_gemma":[0.000843436,0.0001993108,0.6833766,0.00009655175,0.00003362124,0.00008006589,0.0004565111,0.1059238,0.004170519,0.0000995451,0.2037072,0.001012857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908823,0.00003313985,0.0004417436,0.0002075367,0.0005919664,0.0002249866,0.00002324996,0.000451104,0.007143907],"genre_scores_gemma":[0.9971159,0.00003422772,0.0001680588,0.0001613682,0.0002024292,0.00003642113,0.00004969937,0.00006418612,0.002167697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5934024,"threshold_uncertainty_score":0.9999428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007412092697717993,"score_gpt":0.203356435388149,"score_spread":0.195944342690431,"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."}}