{"id":"W2914298537","doi":"10.2134/advagricsystmodel8.2017.0015","title":"Modeling Current and Future Climate Effects on Winter Wheat Production in Colorado, USA","year":2019,"lang":"en","type":"book-chapter","venue":"Advances in agricultural systems modeling","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University; U.S. Department of Agriculture","keywords":"Environmental science; Irrigation; Climate change; Precipitation; Agronomy; Representative Concentration Pathways; Growing season; Biomass (ecology); Winter wheat; Productivity; Climate model; Geography; Meteorology; Biology; Ecology","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":[0.0002583242,0.000375352,0.000235204,0.0002910646,0.0003978025,0.0005548053,0.0005714823,0.000484035,0.001498183],"category_scores_gemma":[0.0005070802,0.0002608892,0.0003765277,0.0005297425,0.0001708814,0.0003240448,0.0002546478,0.0002505233,0.0001158837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002224161,"about_ca_system_score_gemma":0.00132218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3672856,"about_ca_topic_score_gemma":0.4596615,"domain_scores_codex":[0.9998937,0.00002600192,0.000004642122,0.00004052746,0.00001274712,0.00002242455],"domain_scores_gemma":[0.9997303,0.0001036095,0.0000333302,0.00001150464,0.0001024201,0.00001889952],"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":[0.00007733434,0.00006649284,0.0506431,0.00005190304,0.00006458993,0.0001346059,0.00008442687,0.9414791,0.00163003,0.0003719669,0.001670907,0.003725495],"study_design_scores_gemma":[0.0000422464,0.00006263957,0.04343592,0.0000174344,0.00005736476,0.00002369519,0.0001863926,0.9534704,0.000573422,0.0002649369,0.001850331,0.00001531729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898074,0.0001959002,0.002513057,0.0001851038,0.00001502574,0.00003411821,0.002737701,0.00009694489,0.004414753],"genre_scores_gemma":[0.995607,0.000151056,0.001372072,0.00002741914,0.000004056615,0.00004331279,0.001660273,0.00001541062,0.001119478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3672856,"threshold_uncertainty_score":0.7302955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823445702662332,"score_gpt":0.2551920575672428,"score_spread":0.2269576005406194,"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."}}