{"id":"W972960002","doi":"","title":"DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR MANAGING PESTICIDE LOSSES IN AGRICULTURAL WATERSHEDS","year":2003,"lang":"en","type":"article","venue":"国际泥沙研究：英文版","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decision support system; Watershed; Computer science; Terrain; Geographic information system; Precision agriculture; Agriculture; Environmental science; Remote sensing; Data mining; Geography; Cartography","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":[0.0006597897,0.0004126154,0.0003846656,0.000556188,0.0004471104,0.001081606,0.0009601283,0.000418977,0.00190583],"category_scores_gemma":[0.001210519,0.0002111772,0.0002991959,0.0003867246,0.0001892356,0.001045961,0.0004950612,0.0003771101,0.0004222704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007007041,"about_ca_system_score_gemma":0.001812042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407519,"about_ca_topic_score_gemma":0.009786006,"domain_scores_codex":[0.9997484,0.00004403725,0.00003022901,0.00006528506,0.00008770224,0.00002433555],"domain_scores_gemma":[0.9995407,0.0001382328,0.00003995839,0.00005533638,0.0001721803,0.00005363059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006342955,0.0004611814,0.01630419,0.0003646807,0.0001743281,0.001030615,0.000788803,0.4597028,0.06427376,0.01043755,0.01165367,0.4341741],"study_design_scores_gemma":[0.00009213971,0.0001082337,0.001860773,0.00003663964,0.00006592859,0.00009861251,0.0001547992,0.9601643,0.01857197,0.00175641,0.01705533,0.00003488568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.117872,0.000160942,0.8570727,0.0003650971,0.0000627156,0.0005300929,0.000878632,0.01730344,0.005754335],"genre_scores_gemma":[0.6319638,0.0002638061,0.3618414,0.0001070358,0.00002450215,0.0003000962,0.001461585,0.0001796896,0.003858016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01407519,"threshold_uncertainty_score":0.02798653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569606552964329,"score_gpt":0.2273611233514361,"score_spread":0.2016650578217928,"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."}}