{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002051803,0.0003293147,0.0001763164,0.0004969629,0.0006844749,0.001269782,0.0002697442,0.0002395404,0.004652968],"category_scores_gemma":[0.0002523363,0.0001802219,0.0001999031,0.0008209989,0.000251036,0.0007689126,0.0007647699,0.0004430947,0.0006868565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007393245,"about_ca_system_score_gemma":0.00128123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009445163,"about_ca_topic_score_gemma":0.02452534,"domain_scores_codex":[0.9999071,0.000012987,0.00000411462,0.00002659408,0.00002938261,0.00001967405],"domain_scores_gemma":[0.9999068,0.0000209441,0.00001418724,0.000007423744,0.00002990345,0.00002071616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005251361,0.0003002291,0.2250517,0.001422739,0.0001371148,0.005460015,0.0103652,0.006458836,0.02927496,0.01141718,0.01808117,0.6915057],"study_design_scores_gemma":[0.00004223712,0.0003263784,0.5664719,0.0004543838,0.0001626703,0.002254688,0.01917396,0.00791396,0.01709111,0.004963652,0.3810524,0.00009256226],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457152,0.002788467,0.005178302,0.001027479,0.0001191203,0.00009401988,0.002112652,0.0002673432,0.04269741],"genre_scores_gemma":[0.9618543,0.002104621,0.009442235,0.00007870807,0.00002023383,0.00008613637,0.001196042,0.0000537582,0.02516409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009445163,"threshold_uncertainty_score":0.01878035,"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."}}