{"id":"W2028303409","doi":"10.1002/joc.1677","title":"Climate, agricultural production and hydrological balance in the North China Plain","year":2008,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Commonwealth Scientific and Industrial Research Organisation; McMaster University","keywords":"Evapotranspiration; Environmental science; Water balance; Precipitation; Irrigation; Agriculture; Water use; Hydrology (agriculture); Agroforestry; Agronomy; Geography; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001909701,0.0001556047,0.000118485,0.0005883586,0.0003803741,0.000501878,0.0001531779,0.0001553297,0.0009274503],"category_scores_gemma":[0.000273842,0.0001081621,0.0002136395,0.0009618289,0.0003210852,0.000452728,0.0003195139,0.0001419658,0.0000685646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228533,"about_ca_system_score_gemma":0.0006673517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05668458,"about_ca_topic_score_gemma":0.06072379,"domain_scores_codex":[0.9999084,0.00001889467,0.000006518013,0.00001888335,0.00002047826,0.00002672923],"domain_scores_gemma":[0.9997897,0.00002524751,0.00007349045,0.00001251556,0.00003317137,0.00006598525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005586891,0.00007844232,0.9882827,0.00001796319,0.00005668798,0.0002590504,0.0002883667,0.005110208,0.001777063,0.0004028772,0.0002424556,0.003428258],"study_design_scores_gemma":[0.000004076432,0.000011539,0.9968801,0.000001155372,0.000004992782,0.0000165227,0.0001492076,0.002641228,0.00004929358,0.00008698482,0.0001523753,0.000002543037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994231,0.00002372846,0.00003199726,0.00003329861,0.000001083694,0.000002516609,0.000103827,0.000002626605,0.0003778122],"genre_scores_gemma":[0.999719,0.00001991101,0.00002439062,0.000005037966,0.000002263404,0.00000326811,0.0001145703,6.850925e-7,0.000110831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05668458,"threshold_uncertainty_score":0.1127093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009712080359026565,"score_gpt":0.2288210778358693,"score_spread":0.2191089974768427,"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."}}