{"id":"W4380051247","doi":"10.3390/w15122154","title":"Evaluation of Ground and Surface Water Hydrochemistry for Irrigation Suitability in Borneo: Insights from Brunei Darussalam","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Geological Society of America","keywords":"Irrigation; Environmental science; Water quality; Surface water; Groundwater; Agriculture; Farm water; Water resources; Water resource management; Environmental chemistry; Hydrology (agriculture); Environmental engineering; Chemistry; Water conservation; Geography; Agronomy; 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":[0.0002483992,0.0003397182,0.0002584678,0.001389121,0.0007390597,0.0006802781,0.0002831357,0.0002988928,0.0005849779],"category_scores_gemma":[0.0003290332,0.0001896124,0.0002555446,0.001750493,0.0005645835,0.0002706832,0.000309335,0.0002759484,0.0001103231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938617,"about_ca_system_score_gemma":0.001474985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2280696,"about_ca_topic_score_gemma":0.5123797,"domain_scores_codex":[0.9998753,0.00002253125,0.000007890899,0.00002060584,0.00003443744,0.00003918687],"domain_scores_gemma":[0.9998357,0.0000294375,0.00004392545,0.000004653205,0.00006855425,0.00001762609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003379958,0.000220422,0.7682683,0.001287453,0.0001992031,0.009326749,0.01892797,0.001389159,0.07909915,0.00113627,0.00192142,0.1178858],"study_design_scores_gemma":[0.00001660129,0.00008694299,0.9695494,0.0001599532,0.00005672831,0.0008726051,0.01764197,0.0009438251,0.002103463,0.0001956797,0.00834143,0.0000313717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949083,0.001294618,0.0002990042,0.0002551941,0.00001389526,0.00005101576,0.0003493139,0.00000591908,0.002822861],"genre_scores_gemma":[0.9966181,0.001014999,0.00110374,0.000130846,0.000008622611,0.00002031363,0.0002345361,0.000004361013,0.0008644999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2280696,"threshold_uncertainty_score":0.4534842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04223210287301186,"score_gpt":0.2951824950910534,"score_spread":0.2529503922180415,"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."}}