{"id":"W3121843815","doi":"","title":"Canadian Cattle Cycles and Cycle Effects of Market Shocks","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Economics; Monetary economics; Environmental science; Econometrics; Agricultural economics; Macroeconomics","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":[0.0006943805,0.000280817,0.0004377551,0.001701396,0.001643271,0.002222491,0.0007466719,0.000698465,0.009313457],"category_scores_gemma":[0.005503125,0.0003733373,0.0005381274,0.00505041,0.0005871035,0.0006917014,0.0004395099,0.0007769057,0.0003601596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04560559,"about_ca_system_score_gemma":0.02362308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969041,"about_ca_topic_score_gemma":0.9975382,"domain_scores_codex":[0.9997326,0.00002535846,0.00001022412,0.00004596293,0.00008158535,0.0001042568],"domain_scores_gemma":[0.9978637,0.0004303699,0.0002473705,0.00008583731,0.00113115,0.0002415149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002023048,0.0002778611,0.6946019,0.000381841,0.0006323984,0.0004672226,0.002011444,0.08087637,0.002976346,0.05547881,0.09970859,0.06056418],"study_design_scores_gemma":[0.00009572679,0.00004158398,0.9245074,0.00004682807,0.0001931851,0.00006315339,0.001517082,0.03359989,0.0006231994,0.004182357,0.03502287,0.0001067397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376414,0.002925796,0.0007585831,0.005768933,0.00009239711,0.00004289217,0.02851985,0.0001106368,0.02413952],"genre_scores_gemma":[0.9810885,0.001551481,0.0002632915,0.0001914144,0.00002303507,0.000008418638,0.005317195,0.00003411881,0.01152251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04560559,"threshold_uncertainty_score":0.3308933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353878795759939,"score_gpt":0.2481979978690594,"score_spread":0.23465920991146,"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."}}