{"id":"W4404974417","doi":"10.17794/rgn.2024.5.3","title":"USE OF THE GROUNDWATER QUALITY INDEX, MULTIVARIATE STATISTICS AND HYDROGEOCHEMISTRY FOR GROUNDWATER ASSESSMENT IN THE MALABAR VOLCANIC AREA, INDONESIA","year":2024,"lang":"en","type":"article","venue":"Rudarsko-geološko-naftni zbornik","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Excellence in Mining Innovation","funders":"Universitas Padjadjaran; Kementerian Energi Dan Sumber Daya Mineral; Badan Riset dan Inovasi Nasional","keywords":"Groundwater; Environmental science; Index (typography); Hydrology (agriculture); Geology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000579867,0.0002310185,0.0001788643,0.0006056582,0.0001264784,0.0006221063,0.0002093069,0.0001263979,0.000154884],"category_scores_gemma":[0.001028641,0.0001006101,0.0002589987,0.0007121157,0.0002291385,0.0003388053,0.0002974226,0.0001946937,0.00002883377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005312827,"about_ca_system_score_gemma":0.0005582495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01423339,"about_ca_topic_score_gemma":0.01906195,"domain_scores_codex":[0.9997357,0.0001074077,0.000023984,0.00004724605,0.0000654734,0.0000203269],"domain_scores_gemma":[0.9996759,0.0001408336,0.00009559964,0.00002667441,0.0000425418,0.00001847532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001297099,0.000234664,0.8544447,0.00007809302,0.0001829009,0.0003274217,0.0003560262,0.04836088,0.008021132,0.0009613189,0.0003011425,0.08660197],"study_design_scores_gemma":[0.000005815165,0.0001540838,0.7021166,0.00001655813,0.00007274085,0.0001364855,0.0006784077,0.2930854,0.0025168,0.0006234774,0.0005681482,0.00002542485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993233,0.0001339617,0.005798962,0.0000585671,0.000003795794,0.00001260665,0.0001028768,0.00001747324,0.0006387162],"genre_scores_gemma":[0.9978197,0.00007946196,0.001928062,0.000003813992,0.000001638826,0.000007328652,0.00006419757,0.000001611343,0.00009420337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01423339,"threshold_uncertainty_score":0.02830106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03645938194417286,"score_gpt":0.2873084685571919,"score_spread":0.2508490866130191,"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."}}