{"id":"W1605324436","doi":"10.22004/ag.econ.54496","title":"A Methodology to Evaluate the Impact of Cost Recovery in Canadian Agriculture and Agri-Food Chains","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agriculture; Economic impact analysis; Operations research; Computer science; Economics; Public economics; Environmental economics; Econometrics; Engineering; Microeconomics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007008354,0.00108074,0.0006576333,0.007395323,0.001595611,0.002511624,0.001838033,0.0009289816,0.00482793],"category_scores_gemma":[0.02212847,0.0003783586,0.001114506,0.008541241,0.001472534,0.001413207,0.001283531,0.0009775986,0.0002669099],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02340607,"about_ca_system_score_gemma":0.01933803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5961006,"about_ca_topic_score_gemma":0.5458068,"domain_scores_codex":[0.9950882,0.001578076,0.0001585236,0.0004002397,0.002295808,0.0004792694],"domain_scores_gemma":[0.9936945,0.002823616,0.0005414529,0.0005196084,0.002246167,0.0001746398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001248905,0.000167842,0.01704517,0.0003519691,0.000227522,0.0001319044,0.0004326534,0.5495209,0.002585184,0.2043887,0.003693652,0.2213296],"study_design_scores_gemma":[0.00005688242,0.0002428742,0.01570621,0.00009744152,0.0001252013,0.0001026536,0.0006780416,0.9147843,0.004035697,0.04855303,0.01553041,0.00008721675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1186848,0.001190874,0.8372148,0.0007213316,0.0001120574,0.002115113,0.002300115,0.0007595303,0.03690143],"genre_scores_gemma":[0.5291438,0.0007731867,0.4608499,0.0001066235,0.00002787091,0.001066072,0.0009795814,0.0001046231,0.006948392],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9765939,"threshold_uncertainty_score":0.812556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205921686693873,"score_gpt":0.290981393820639,"score_spread":0.1703892251512518,"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."}}