{"id":"W2152581109","doi":"10.1038/nclimate1916","title":"Uncertainty in simulating wheat yields under climate change","year":2013,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":1340,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Alberta","funders":"Agence Nationale de la Recherche","keywords":"Climate change; Environmental science; Climatology; Atmospheric sciences; Geology; Oceanography","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":[0.002964451,0.0006013878,0.0006648984,0.0005919819,0.0007151861,0.001702551,0.0008962345,0.001974301,0.001045101],"category_scores_gemma":[0.01463723,0.000816935,0.0008636568,0.001001611,0.0009751855,0.002308254,0.0008887051,0.001526533,0.00008904406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002379629,"about_ca_system_score_gemma":0.0009642834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04099071,"about_ca_topic_score_gemma":0.02086399,"domain_scores_codex":[0.9991535,0.0004080659,0.00006254743,0.0001392545,0.0001143477,0.0001223078],"domain_scores_gemma":[0.9929782,0.005925193,0.0003883978,0.0002060658,0.0003237519,0.0001785021],"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":[0.00003191402,0.00001106586,0.001691036,0.000005093204,0.0000132581,0.00001855233,0.0000115738,0.9971219,0.00009556615,0.0005868239,0.00003109397,0.0003821146],"study_design_scores_gemma":[0.000009599979,0.0000238368,0.001177727,0.000002824992,0.00001053795,0.000006172805,0.00002410318,0.9973785,0.0002265173,0.001050495,0.0000812727,0.000008423838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833456,0.0002165867,0.01211895,0.0007060847,0.00004912061,0.00001845858,0.0004827823,0.00006543824,0.002996933],"genre_scores_gemma":[0.9985058,0.00004995965,0.0009798991,0.0000327346,0.000007760505,0.000007453224,0.0001162648,0.00001028248,0.0002898039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04099071,"threshold_uncertainty_score":0.08150423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07072092961833412,"score_gpt":0.2899484687074536,"score_spread":0.2192275390891195,"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."}}