{"id":"W2520448605","doi":"10.1038/nclimate3115","title":"Similar estimates of temperature impacts on global wheat yield by three independent methods","year":2016,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":571,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of Guelph; Plant Biotechnology Institute","funders":"Biotechnology and Biological Sciences Research Council; National Natural Science Foundation of China","keywords":"Yield (engineering); Environmental science; Global temperature; Climatology; Atmospheric sciences; Climate change; Global warming; Geology; Oceanography; Physics; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004987973,0.0005479475,0.0005903523,0.00002888447,0.0001781467,0.00007433648,0.0006227879,0.001226056,0.001348563],"category_scores_gemma":[0.0004735489,0.0001598489,0.0002526441,0.0006355423,0.000106426,0.000350184,0.0002301771,0.0005431093,0.00005707686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755297,"about_ca_system_score_gemma":0.000006879851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001294977,"about_ca_topic_score_gemma":0.001526403,"domain_scores_codex":[0.9973602,0.0001081789,0.0004016542,0.0006764224,0.0005381411,0.0009154174],"domain_scores_gemma":[0.9982587,0.0006276721,0.0003035177,0.0002219831,0.000216837,0.0003713122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002152102,0.0002624096,0.01644599,0.00005785134,0.00004072605,0.0000162422,0.0001170282,3.706431e-8,0.9256546,0.0004218935,0.01229373,0.04447422],"study_design_scores_gemma":[0.0009409016,0.002040223,0.550782,0.001523981,0.000126017,0.00007953126,0.0005042239,0.000003740632,0.4317456,0.002428825,0.008588237,0.001236753],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762371,0.004579349,0.000002265435,0.01047233,0.0006673914,0.0007782823,0.005126118,0.0002443558,0.001892775],"genre_scores_gemma":[0.9940016,0.002145512,0.0004202485,0.002407819,0.0006880772,0.00006211082,0.0002349155,0.00000716499,0.00003259636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.534336,"threshold_uncertainty_score":0.9995643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05504533827267648,"score_gpt":0.328073781273601,"score_spread":0.2730284430009245,"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."}}