{"id":"W2799603303","doi":"10.1016/j.scitotenv.2018.03.224","title":"A hybrid land-water-environment model for identification of ecological effect and risk under uncertain meteorological precipitation in an agroforestry ecosystem","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Water resources management and optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Beijing Social Science Fund; Capital University of Economics and Business; National Natural Science Foundation of China","keywords":"Environmental science; Agriculture; Irrigation; Ecosystem; Pollution; Schedule; Water resource management; Environmental resource management; Environmental protection; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009496635,0.0007174074,0.001346723,0.0005906153,0.0006767517,0.001638736,0.001753229,0.002795026,0.002065284],"category_scores_gemma":[0.001721622,0.0008295778,0.0009588745,0.0006171966,0.001052516,0.001322313,0.001249598,0.001112131,0.0001633946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392564,"about_ca_system_score_gemma":0.001893629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04259909,"about_ca_topic_score_gemma":0.02423454,"domain_scores_codex":[0.9996744,0.0001045544,0.0000193496,0.00008614969,0.00003695033,0.00007867462],"domain_scores_gemma":[0.9991229,0.0005630642,0.00009703844,0.00002667336,0.0001078765,0.00008232224],"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":[0.00001875168,0.00001528442,0.0005033974,0.000007516774,0.0000170028,0.00003193385,0.00001032489,0.9977431,0.0001710939,0.0008476736,0.00005358961,0.0005802373],"study_design_scores_gemma":[0.000004659159,0.000007268935,0.0001190078,8.989347e-7,0.000004591513,0.000002998985,0.000004458901,0.9995279,0.00002075371,0.0002811963,0.00002341159,0.000002869629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6382293,0.0006514539,0.3489224,0.001235956,0.0001186614,0.00009461822,0.0006923529,0.0004173884,0.009637808],"genre_scores_gemma":[0.9914227,0.000108077,0.004471219,0.00005025564,0.00001790234,0.00005242412,0.0001108339,0.00002328444,0.003743313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04259909,"threshold_uncertainty_score":0.08470225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081797151706101,"score_gpt":0.2013335025535283,"score_spread":0.1905155310364673,"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."}}