{"id":"W4398180931","doi":"10.2139/ssrn.4835447","title":"Concurrent Drought Threaten Wheat and Maize Production and Widen Crop Yield Gaps in the Future","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Yield (engineering); Production (economics); Agronomy; Crop; Crop production; Environmental science; Zea mays; Agroforestry; Geography; Agriculture; Biology; Economics","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":[0.0008661098,0.0001927741,0.0002646511,0.0001830577,0.0005410314,0.001280433,0.0001862215,0.0008303235,0.006089736],"category_scores_gemma":[0.0009220642,0.0001137276,0.0001856296,0.0005646317,0.0004278408,0.001654499,0.0009345257,0.0008419341,0.0007330498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006436009,"about_ca_system_score_gemma":0.0007336757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260553,"about_ca_topic_score_gemma":0.003879021,"domain_scores_codex":[0.9998651,0.00001940178,0.000007836537,0.00003326752,0.00003035315,0.0000439726],"domain_scores_gemma":[0.9996328,0.00006655446,0.0001070258,0.00003352606,0.00007768466,0.00008239929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002417281,0.0002432086,0.3440952,0.001100451,0.0004099306,0.00281707,0.003332949,0.014718,0.1039317,0.1249922,0.04511321,0.3568288],"study_design_scores_gemma":[0.00009387085,0.0003095339,0.6703559,0.0001994392,0.0001755763,0.001130873,0.006056319,0.01666597,0.009810206,0.1411807,0.153952,0.00006969593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412057,0.004173134,0.01177795,0.02071059,0.0005644729,0.000007061701,0.002665928,0.0003159806,0.01857914],"genre_scores_gemma":[0.9938734,0.001765303,0.001103559,0.0004566267,0.0001694159,0.000004311551,0.0005013765,0.00003660319,0.002089545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006089736,"threshold_uncertainty_score":0.02037221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562856219445051,"score_gpt":0.2391262846142197,"score_spread":0.2234977224197692,"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."}}