{"id":"W3122848934","doi":"","title":"Are Governments of the Right Leviathan for Agriculture? An Empirical Study of Government Transfers to Agricultural Producers in Canada","year":2013,"lang":"en","type":"article","venue":"2013 Annual Meeting, August 4-6, 2013, Washington, D.C.","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"LEVIATHAN (cipher); Agriculture; Government (linguistics); Business; Agricultural economics; Economic policy; Economics; Geography","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":[0.0003362721,0.0004339233,0.0006460145,0.00001360403,0.0002258145,0.00006973165,0.001061429,0.000148559,0.0001568119],"category_scores_gemma":[0.0001255276,0.0001465891,0.0002244394,0.0004510919,0.00005403431,0.0004488365,0.0001945845,0.0002364618,0.000009843257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005969449,"about_ca_system_score_gemma":0.00006131805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8157071,"about_ca_topic_score_gemma":0.9537442,"domain_scores_codex":[0.9967985,0.0002017046,0.0009215663,0.0006654669,0.000729398,0.0006834202],"domain_scores_gemma":[0.9983108,0.0001728444,0.0007276296,0.0002112309,0.0002505199,0.0003269952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001198577,0.001812482,0.3986484,0.00008223388,0.0001651474,0.000001868183,0.005814969,0.001096752,0.05049123,0.0000538072,0.5391477,0.002565587],"study_design_scores_gemma":[0.000502885,0.0009506426,0.9499004,0.00008148945,0.00004278448,0.000002353855,0.02809045,0.00002379606,0.003868854,0.00002405788,0.01607829,0.0004340177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990499,0.0000363878,1.298411e-7,0.004829617,0.0003623673,0.002694704,0.001006266,0.0000182616,0.0005533135],"genre_scores_gemma":[0.9975305,0.00001670446,0.00003905701,0.0004074574,0.0003045054,0.0002413767,0.00003195929,0.000005674278,0.001422771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.551252,"threshold_uncertainty_score":0.597773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251115185988306,"score_gpt":0.2270741681476472,"score_spread":0.2145630162877642,"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."}}