{"id":"W2736382041","doi":"10.23917/warta.v18i1.1162","title":"PEMANFAATAN AIR SUNGAI BAWAH TANAH GUA SURUH UNTUK MASYARAKAT DESA PUCUNG, EROMOKO, WONOGIRI","year":2015,"lang":"en","type":"article","venue":"Warta LPM","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Dry season; Population; Water resource management; Economic shortage; Environmental science; Groundwater; Hydrology (agriculture); Government (linguistics); Water scarcity; Cave; Geography; Agricultural economics; Business; Engineering; Economics; Archaeology; Cartography; Agriculture; Sociology","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":["insufficient_payload"],"category_scores_codex":[0.0005449513,0.0003013945,0.0002550826,0.0000731976,0.000162469,0.00008446529,0.0005490348,0.00008171869,0.003845848],"category_scores_gemma":[0.00005719227,0.0002769025,0.00008556942,0.00039661,0.0001699322,0.0004502759,0.001002778,0.0001553178,0.007650078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003461148,"about_ca_system_score_gemma":0.0000332224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008937116,"about_ca_topic_score_gemma":0.00212827,"domain_scores_codex":[0.9976504,0.00006667307,0.000340305,0.0005908824,0.000724576,0.0006271034],"domain_scores_gemma":[0.9988586,0.00003743406,0.00009849944,0.0005895357,0.00001734986,0.0003986206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008746322,0.0002971565,0.4000009,0.00003052336,0.00006129441,0.0002008462,0.002001001,0.000945516,0.0009688016,0.0007548016,0.5728469,0.02180483],"study_design_scores_gemma":[0.001079428,0.0001734394,0.2435905,0.0000317105,0.00004055697,0.00001534549,0.0006899601,0.0006762143,0.00149548,0.002442682,0.7489806,0.0007840472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7847877,0.0001609487,0.0007381571,0.001895893,0.0007478186,0.0005737923,0.00001312529,0.00024761,0.2108349],"genre_scores_gemma":[0.96466,0.00003071424,0.001739055,0.0006964004,0.00009635837,0.00003580204,0.00004727202,0.00003436602,0.03266003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1798723,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178096730580885,"score_gpt":0.2161427729564855,"score_spread":0.1943618056506766,"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."}}