{"id":"W6968696363","doi":"10.5281/zenodo.2222355","title":"Modeling and forecasting of agricultural crop production and economic stability based on Gross Regional Domestic Product","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hectare; Agriculture; Crop; Quarter (Canadian coin); Agricultural productivity; Product (mathematics); Gross domestic product; Crop yield","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002538137,0.00009300417,0.0001384092,0.0001442021,0.0007239553,0.0003753884,0.0003672437,0.00002859682,0.0001544505],"category_scores_gemma":[0.005008413,0.00007348678,0.00002461844,0.0003170413,0.0002145161,0.000227318,0.0003565729,0.0001189412,0.00007801718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000894033,"about_ca_system_score_gemma":0.000008652284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003109906,"about_ca_topic_score_gemma":0.00000149213,"domain_scores_codex":[0.9984129,0.000189875,0.000353295,0.000494011,0.0003946731,0.0001552204],"domain_scores_gemma":[0.9985071,0.0000787186,0.0001523887,0.0003706027,0.0007667043,0.0001244784],"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":[0.001176861,0.001036641,0.001300372,0.0003666518,0.00007253616,0.000006284731,0.008156097,0.3351489,0.02333337,0.03731317,0.1689087,0.4231803],"study_design_scores_gemma":[0.001096937,0.001079917,0.01066282,0.0001687088,0.00002841946,0.0004166649,0.001892376,0.9050559,0.003186611,0.01328864,0.06251343,0.0006095798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892431,0.00002732026,0.004645787,0.001375765,0.00004112099,0.0004011103,0.00004837595,0.0001757589,0.004041634],"genre_scores_gemma":[0.9975048,0.000005306702,0.002154102,0.00001659887,0.00007337527,1.23985e-7,0.00006490636,0.0001145786,0.00006621667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5699069,"threshold_uncertainty_score":0.59959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2530207501074557,"score_gpt":0.3356445033924038,"score_spread":0.08262375328494803,"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."}}