{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00126972,0.00008251412,0.0001071154,0.00001730632,0.00005473852,0.00002012626,0.00006931798,0.00006844581,0.0005439166],"category_scores_gemma":[0.00002051125,0.00005384066,0.00002250331,0.00007203783,0.00008594464,0.0001945985,0.00009160722,0.0000456859,0.0001082244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351642,"about_ca_system_score_gemma":0.000007582216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804738,"about_ca_topic_score_gemma":0.0005129615,"domain_scores_codex":[0.9988391,0.0001402884,0.0002328127,0.000248244,0.0003666826,0.0001728649],"domain_scores_gemma":[0.9997163,0.00003675421,0.00002733544,0.0001633209,0.00002050563,0.0000357286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003040584,0.00007337611,0.02167672,0.00003279984,0.00001281495,4.493153e-7,0.00797584,0.004557005,0.9647688,0.00002608788,0.0001422987,0.0007034233],"study_design_scores_gemma":[0.0006823998,0.00002073594,0.2245441,0.000009607343,0.00002429961,2.038379e-7,0.0001373738,0.01214456,0.7310395,0.03048578,0.000801181,0.0001101938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998471,0.000008380147,0.00003833796,0.0005753315,0.00007019256,0.000298074,0.00002144714,0.00001944716,0.000497851],"genre_scores_gemma":[0.9993117,0.000001861561,0.0001232486,0.00003117567,0.00001541737,0.00002724923,0.0002755019,0.000006246542,0.0002075508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337292,"threshold_uncertainty_score":0.5955505,"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."}}