{"id":"W2224242611","doi":"10.22004/ag.econ.149881","title":"Farm Wealth Implications of Canadian Agricultural Business Risk Management Programs","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Net present value; Incentive; Subsidy; Business; Agriculture; Present value; Cropping; Environmental economics; Agricultural economics; Economics; Natural resource economics; Finance; Production (economics); Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001802779,0.0002719922,0.0002561432,0.0006855704,0.001337267,0.001183755,0.0007388094,0.0003601577,0.002530575],"category_scores_gemma":[0.006674588,0.0001094693,0.0002706742,0.0008940362,0.0007705079,0.0004672541,0.0009199682,0.0004156063,0.0000845736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02519264,"about_ca_system_score_gemma":0.02047081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8271493,"about_ca_topic_score_gemma":0.9195009,"domain_scores_codex":[0.9982168,0.000421099,0.00002661595,0.0001036734,0.0004858352,0.0007459094],"domain_scores_gemma":[0.996416,0.0009020524,0.0006015811,0.0001858252,0.001074381,0.0008200914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001997319,0.001973993,0.4537461,0.0002090118,0.0002813559,0.001040473,0.001229139,0.214475,0.006341508,0.04269505,0.0105234,0.2654876],"study_design_scores_gemma":[0.0002198761,0.001163613,0.8683704,0.0001017049,0.0002361909,0.000129663,0.002695895,0.09623691,0.003109041,0.007290282,0.02036577,0.00008064452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701222,0.0002417988,0.0006965408,0.001370422,0.000009980893,0.00007477822,0.0004186335,0.00003448823,0.02703106],"genre_scores_gemma":[0.9978846,0.0001119467,0.0003047623,0.00006793982,0.000002704113,0.0000111364,0.00009693082,0.000002130034,0.001517754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1728507,"threshold_uncertainty_score":0.3477373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943043598675275,"score_gpt":0.1953452814495603,"score_spread":0.1759148454628075,"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."}}