{"id":"W2899765179","doi":"10.1038/s41598-018-34215-y","title":"Increasing compound events of extreme hot and dry days during growing seasons of wheat and maize in China","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"College of Education and Human Development, Texas A and M University; National Key Research and Development Program of China; U.S. Department of Energy","keywords":"Growing season; Crop; Environmental science; Food security; Climate change; Downscaling; Agriculture; Precipitation; Agronomy; China; Geography; Biology; Ecology; Meteorology","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":[0.0002880954,0.0002239655,0.0002008256,0.0006801339,0.0003443381,0.000371646,0.0001787787,0.0001903868,0.000743158],"category_scores_gemma":[0.0003255373,0.0001323516,0.0003213933,0.0008130733,0.0002266437,0.0002767401,0.0004123838,0.0001584083,0.00006050658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005243451,"about_ca_system_score_gemma":0.0004438901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999683,"about_ca_topic_score_gemma":0.03818052,"domain_scores_codex":[0.999862,0.00001560725,0.00001324257,0.00004481144,0.00003007861,0.00003433208],"domain_scores_gemma":[0.9996957,0.00002976017,0.0001351452,0.00002061482,0.0000511185,0.00006769969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001760925,0.00003843044,0.974241,0.0001047295,0.0001548605,0.0004731086,0.0007155786,0.00173513,0.009923785,0.0002844075,0.001061343,0.01109158],"study_design_scores_gemma":[0.000002241571,0.00001024081,0.9984779,0.000002592303,0.00001101365,0.00003681604,0.0001251641,0.0005965345,0.0002506221,0.00005353653,0.0004287808,0.000004554139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985875,0.0001218481,0.0002020506,0.00006829766,0.000007676287,0.000004902663,0.0005022824,0.000008772216,0.0004967752],"genre_scores_gemma":[0.9991215,0.0000803548,0.0001096475,0.00002012212,0.000009899813,0.000005915667,0.0005006977,0.000002069941,0.0001497818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01999683,"threshold_uncertainty_score":0.03976083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001175698029416,"score_gpt":0.2375890744779253,"score_spread":0.2075773174976311,"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."}}