{"id":"W3165958389","doi":"10.20886/jppdas.2021.5.1.1-20","title":"PEMETAAN POTENSI KERENTANAN PENCEMARAN AIR PERMUKAAN UNTUK PENGENDALIAN SANITASI LINGKUNGAN DI KABUPATEN BULELENG (Mapping on the potential vulnerability of surface water pollution for environmental sanitation control in Buleleng Regency)","year":2021,"lang":"en","type":"article","venue":"Jurnal Penelitian Pengelolaan Daerah Aliran Sungai","topic":"Wetland Management and Conservation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Environmental science; Watershed; Water resource management; Pollution; Hydrology (agriculture); Land cover; Surface water; Nonpoint source pollution; Water quality; Environmental engineering; Land use; Engineering; Ecology; Civil 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"],"consensus_categories":[],"category_scores_codex":[0.001284386,0.0005256979,0.0006308979,0.000242783,0.0004586721,0.0001336486,0.0004063149,0.0002044382,0.0002187154],"category_scores_gemma":[0.00008964302,0.0004422333,0.0003514988,0.0003000974,0.0001157197,0.0005049271,0.00007120419,0.000581944,0.00002262187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303368,"about_ca_system_score_gemma":0.00006508577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001389132,"about_ca_topic_score_gemma":0.0004768946,"domain_scores_codex":[0.9963734,0.000503241,0.001071594,0.0006521046,0.0006044904,0.0007951666],"domain_scores_gemma":[0.998687,0.000183215,0.0001937879,0.0006177049,0.0001537264,0.00016453],"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":[0.0007680018,0.0006076455,0.023612,0.0007760313,0.0008590651,0.0001499357,0.006312194,0.06696975,0.8854712,0.001990147,0.0008587155,0.01162533],"study_design_scores_gemma":[0.008877855,0.0005440834,0.7446359,0.0005908497,0.0006455445,0.00007319297,0.01581901,0.1032533,0.1176952,0.001712729,0.00408423,0.002068125],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917518,0.000530527,0.002762818,0.002260653,0.0005725057,0.001159845,0.000241878,0.0001155985,0.0006043225],"genre_scores_gemma":[0.9979985,0.0001693877,0.0002007899,0.0003586047,0.0002912273,0.00007258706,0.0006206878,0.00009367859,0.0001945781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.767776,"threshold_uncertainty_score":0.9998029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149402225030389,"score_gpt":0.2032543020986693,"score_spread":0.1883140795956304,"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."}}