{"id":"W4406854447","doi":"10.1139/er-2024-0117","title":"Discussion of Predicting impacts of agricultural land use on stream and river biota: method review, evaluation, and guidance","year":2025,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Biota; Environmental science; Agricultural land; Agriculture; Land use; Environmental resource management; Hydrology (agriculture); Ecology; Environmental protection; Water resource management; Geography; Geology; Biology","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":[0.1064527,0.002060301,0.003115165,0.00638547,0.001108926,0.005924747,0.006424084,0.003328451,0.001739395],"category_scores_gemma":[0.1190448,0.001074258,0.00359808,0.006541859,0.002798906,0.004477217,0.00220609,0.0056469,0.0005724955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008069599,"about_ca_system_score_gemma":0.02367006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0533291,"about_ca_topic_score_gemma":0.07273725,"domain_scores_codex":[0.9602398,0.02313503,0.003961287,0.002864648,0.009289999,0.0005091472],"domain_scores_gemma":[0.778308,0.1710393,0.00816913,0.0041775,0.03739309,0.0009130082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000271383,0.0002109186,0.01861955,0.05261315,0.002905643,0.0003151303,0.00214501,0.01857363,0.003115596,0.05160933,0.05476107,0.7948595],"study_design_scores_gemma":[0.0001818028,0.0009673783,0.03658856,0.1014032,0.005634272,0.0008331039,0.002688677,0.01794784,0.01198022,0.06141394,0.7598992,0.0004618406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005249815,0.9029109,0.03891961,0.04260185,0.002797718,0.0003648634,0.001161903,0.000183684,0.00580965],"genre_scores_gemma":[0.04499048,0.8488514,0.09227309,0.008249303,0.002055896,0.0004958287,0.0007135685,0.0001377857,0.002232684],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1064527,"threshold_uncertainty_score":0.5629822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351125767533332,"score_gpt":0.2854290645914315,"score_spread":0.2719178069160981,"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."}}