{"id":"W4388783146","doi":"10.24036/geografi/vol12-iss2/3553","title":"KAJIAN HIDROGEOLOGI UNTUK IDENTIFIKASI ZONA POTENSI SUMBER AIR BERBASIS PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS (SIG) DI WILAYAH KECAMATAN CIPATAT, KABUPATEN BANDUNG BARAT, JAWA BARAT","year":2023,"lang":"id","type":"article","venue":"JURNAL GEOGRAFI","topic":"Wetland Management and Conservation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Forestry; Humanities; Hydrology (agriculture); Geography; Geology; Art; Geotechnical 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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001101689,0.001470261,0.001359116,0.001261097,0.001065746,0.001106331,0.001253837,0.0007929602,0.0001852152],"category_scores_gemma":[0.0001186458,0.00151928,0.0009521067,0.002864963,0.0002369231,0.002012866,0.00081132,0.001375611,0.001328355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000410198,"about_ca_system_score_gemma":0.0001610844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006278151,"about_ca_topic_score_gemma":0.001651131,"domain_scores_codex":[0.9925994,0.0002523256,0.001971468,0.001232049,0.001462281,0.002482522],"domain_scores_gemma":[0.9965628,0.0002236512,0.0005553907,0.001398629,0.000445325,0.0008141854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002365143,0.0002520389,0.9189246,0.001518951,0.002439396,0.001575928,0.002158962,0.01541073,0.0007792985,0.00202854,0.02668862,0.02798637],"study_design_scores_gemma":[0.002065293,0.0002186127,0.8078254,0.0004902723,0.0008000009,0.0001005813,0.001396057,0.02753179,0.0006426247,0.00008938316,0.1570946,0.001745357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642897,0.001375961,0.0003312962,0.002519315,0.003765514,0.001374249,0.0001040937,0.001941207,0.02429867],"genre_scores_gemma":[0.9828642,0.001715651,0.00005949535,0.0006014681,0.0008406975,0.0002206927,0.002038831,0.0002755809,0.0113834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.130406,"threshold_uncertainty_score":0.9999306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350502439473306,"score_gpt":0.2170883747509357,"score_spread":0.2035833503562027,"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."}}