{"id":"W2141384851","doi":"10.5539/sar.v2n3p148","title":"Wheat Production Simulation Based on the ALMANAC Model of North China Region","year":2013,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Environmental science; Irrigation; Tillage; Food security; Fertilizer; Agriculture; Climate change; Agronomy; Production (economics); Yield (engineering); Precipitation; Geography; Meteorology; Biology; Economics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008077074,0.0002448991,0.0002243976,0.00005974057,0.0007938233,0.0001203018,0.0005186282,0.0001724092,0.0002005559],"category_scores_gemma":[0.001058059,0.00006318458,0.0001274442,0.002164649,0.0001424519,0.0004279381,0.0001405162,0.0005854993,0.00004819448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002528295,"about_ca_system_score_gemma":0.00003111928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013161,"about_ca_topic_score_gemma":0.0006109548,"domain_scores_codex":[0.9968691,0.0003971066,0.0002810002,0.0004902007,0.001085716,0.0008768543],"domain_scores_gemma":[0.9970146,0.0006166121,0.0001362549,0.000220267,0.00184205,0.0001701743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002669415,0.001325229,0.008234655,0.0003782945,0.00005170531,0.0000230475,0.001292273,0.496873,0.1464586,0.002339939,0.3224666,0.02028986],"study_design_scores_gemma":[0.0004710089,0.001702558,0.7748912,0.0002455834,0.00004004508,0.000009083926,0.01721501,0.1686075,0.01526598,0.005054468,0.01555018,0.0009473361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644741,0.00008660441,0.00001324831,0.03050071,0.00003570861,0.002268422,0.00001295939,0.00007983521,0.002528411],"genre_scores_gemma":[0.9915928,0.0000843476,0.00001520582,0.000143528,0.0003484547,0.0002248241,0.0001330676,0.000002797935,0.007455019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7666566,"threshold_uncertainty_score":0.6105527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08499375289065882,"score_gpt":0.2992038264557881,"score_spread":0.2142100735651293,"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."}}