{"id":"W2886549162","doi":"10.5539/jsd.v11n4p240","title":"Prioritize Agri-Environmental Measures of Water-Related Ecosystem Services: The Case of Mashhad","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecosystem services; Agriculture; Ecosystem; Environmental resource management; Business; Biodiversity; Natural resource; Environmental science; Environmental planning; Geography; Ecology","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":[0.0006057748,0.000176402,0.00012106,0.001311484,0.001224193,0.0008627076,0.0003773608,0.0003536218,0.002155615],"category_scores_gemma":[0.0008283897,0.00009136853,0.0002362982,0.002010799,0.0004190525,0.0005485946,0.0004784897,0.000282466,0.00008493228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003982083,"about_ca_system_score_gemma":0.00167383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1168415,"about_ca_topic_score_gemma":0.2487608,"domain_scores_codex":[0.999736,0.00009628744,0.00000624895,0.00001883442,0.0000404417,0.0001022295],"domain_scores_gemma":[0.9996746,0.0001209411,0.00004444667,0.00001417172,0.0000907006,0.00005516599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008803011,0.00113958,0.6993862,0.0003543399,0.0001445753,0.02329162,0.009788696,0.07276999,0.007214177,0.05872854,0.005406288,0.1208956],"study_design_scores_gemma":[0.0001206514,0.000416445,0.6741493,0.0001285919,0.0001723981,0.001622739,0.09992641,0.1933414,0.004226454,0.01211871,0.01370622,0.00007069456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965504,0.00007170992,0.0006434307,0.0002127473,0.000003945423,0.00001822816,0.00007082387,0.000003753936,0.002425059],"genre_scores_gemma":[0.9983814,0.00006603756,0.0009830142,0.000007434195,0.000001622297,0.000005275194,0.00003177322,0.000001031978,0.0005224799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168415,"threshold_uncertainty_score":0.2323229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006600830385415717,"score_gpt":0.1899951500620683,"score_spread":0.1833943196766525,"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."}}