{"id":"W2975153562","doi":"10.5539/jas.v11n17p251","title":"Water Quality of Underground Wells in Limoeiro do Norte, Brazilian Northeast","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater; Salinity; Brackish water; Sodium; Water well; Chemistry; Irrigation; Chloride; Water quality; Environmental chemistry; Hydrology (agriculture); Animal science; Geology; Agronomy; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003037534,0.0002028103,0.0002705176,0.000980743,0.0004517333,0.0004585591,0.0002199498,0.0002144495,0.0006943108],"category_scores_gemma":[0.0009267781,0.0001672783,0.0001741846,0.001407712,0.0005153035,0.0003217468,0.0004137841,0.00007314985,0.00008972853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007528999,"about_ca_system_score_gemma":0.000766429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06055962,"about_ca_topic_score_gemma":0.1619034,"domain_scores_codex":[0.9997876,0.00003035905,0.00002362562,0.00005028163,0.00008025867,0.0000279579],"domain_scores_gemma":[0.9996431,0.00006953209,0.0001428469,0.00001801446,0.00009629153,0.00003024321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001213589,0.00004903908,0.9490099,0.0002099889,0.00003368187,0.0009603205,0.005487047,0.000369417,0.02103953,0.0006245201,0.0001897571,0.02190542],"study_design_scores_gemma":[0.000003890283,0.00009929995,0.9895001,0.00004001904,0.00002077664,0.0005606732,0.004995559,0.000570917,0.001722562,0.0001482562,0.002321777,0.00001627002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982597,0.0001724066,0.0001776951,0.00004215356,0.00000173498,0.00001296659,0.0001676061,0.000006406527,0.00115925],"genre_scores_gemma":[0.9990558,0.0001303812,0.000349477,0.00001127718,0.000001181896,0.00000905511,0.0001053194,0.000001289767,0.0003361694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06055962,"threshold_uncertainty_score":0.1204143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169521019181355,"score_gpt":0.2726386593146385,"score_spread":0.255686557396503,"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."}}