{"id":"W2290787492","doi":"10.5539/jsd.v9n1p245","title":"A Review and Discussion on Modeling and Assessing Agricultural Best Management Practices under Global Climate Change","year":2016,"lang":"en","type":"review","venue":"Journal of Sustainable Development","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agriculture and Agri-Food Canada","keywords":"Climate change; Watershed; Environmental science; Environmental resource management; Watershed management; Agriculture; Water cycle; Nonpoint source pollution; Water resource management; Global warming; Environmental planning; Water resources; Geography; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001073728,0.0003529155,0.0008846875,0.00008795547,0.0004071005,0.00009979936,0.0001905842,0.00009504316,0.0000309848],"category_scores_gemma":[0.0000330066,0.0001563424,0.00008625275,0.0001905473,0.00007199035,0.0007726533,0.0009442603,0.0002041735,0.00002934031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007263615,"about_ca_system_score_gemma":0.00002319679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004670728,"about_ca_topic_score_gemma":0.000001886195,"domain_scores_codex":[0.9981182,0.000140542,0.0006542376,0.0003304027,0.0002986202,0.0004580412],"domain_scores_gemma":[0.9985217,0.00003278899,0.001195488,0.0001066941,0.00002943579,0.0001139225],"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":[0.00001503336,0.0001495662,0.000136055,0.05180275,0.0005346718,0.0004608209,0.0002631094,0.00003153618,3.399802e-8,0.0006521167,0.001316872,0.9446374],"study_design_scores_gemma":[0.0002824898,0.0001020181,0.0005639532,0.05314907,0.001579255,0.0001936838,0.002563438,0.00000405605,3.697615e-8,0.0003783875,0.9407645,0.0004190504],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001459578,0.993748,0.00007677254,0.002097297,0.00008156562,0.0008119749,0.000001084674,0.000007644045,0.003029699],"genre_scores_gemma":[0.0002184146,0.9979312,0.0007245022,0.0003954857,0.00004727666,0.00006229625,0.00000219161,0.00001192654,0.0006066603],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9442184,"threshold_uncertainty_score":0.637546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05246497168135916,"score_gpt":0.3329410300684819,"score_spread":0.2804760583871227,"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."}}