{"id":"W4393977844","doi":"10.1134/s0097807823600572","title":"Spatio-Temporal Variation of Water Quality in Lixia River Watershed Associated with the Operation of a Water Diversion Project","year":2024,"lang":"en","type":"article","venue":"Water Resources","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water diversion; Hydrogeology; Watershed; Water quality; Hydrology (agriculture); Environmental science; Variation (astronomy); Water resource management; Geology; Computer science; Geotechnical engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005112886,0.0001668006,0.0002325801,0.001230636,0.0004803837,0.0005947738,0.0003138357,0.0002863658,0.0006296313],"category_scores_gemma":[0.0007772734,0.0001356444,0.0002820395,0.002385517,0.0004812573,0.0003874672,0.0005664399,0.0002279909,0.00006680209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009901645,"about_ca_system_score_gemma":0.0009978457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0348563,"about_ca_topic_score_gemma":0.05397501,"domain_scores_codex":[0.9996326,0.00005374925,0.00004243181,0.0001016005,0.00009386862,0.00007566822],"domain_scores_gemma":[0.9991971,0.0001160026,0.0003123168,0.00003750882,0.0001779994,0.0001591762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004407163,0.00002720003,0.9957095,0.00001676159,0.00003372364,0.0001710625,0.0004955553,0.000307104,0.000940328,0.00006356491,0.0001586648,0.002032447],"study_design_scores_gemma":[8.720803e-7,0.00001264033,0.9985979,0.000002517929,0.000006160305,0.00002705201,0.0005637022,0.0005888183,0.00007283913,0.00001301416,0.0001107589,0.00000374887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994271,0.00002466937,0.00009088064,0.0000161765,0.000001245099,0.000005786663,0.0002167616,0.000004119906,0.0002134316],"genre_scores_gemma":[0.9994118,0.00002550025,0.0001037224,0.000004215146,0.000001918963,0.00001068133,0.00031973,8.611088e-7,0.0001216453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0348563,"threshold_uncertainty_score":0.06930685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025246323755516,"score_gpt":0.2633610252594026,"score_spread":0.2381147015038866,"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."}}