{"id":"W1576249526","doi":"","title":"Aggregate Employment Fluctuations and Agricultural Share y","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Volatility (finance); Economics; Business cycle; Agriculture; Aggregate (composite); Aggregate data; Positive correlation; Labour economics; Econometrics; Macroeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003537081,0.0001284127,0.0002144998,0.0005000202,0.0001265284,0.0006690737,0.0001546968,0.0003146575,0.001846538],"category_scores_gemma":[0.002165336,0.00008721685,0.0001439224,0.000701273,0.0001991562,0.0004128689,0.0003709002,0.0002047752,0.0003684147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00027818,"about_ca_system_score_gemma":0.00007788551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846108,"about_ca_topic_score_gemma":0.001107441,"domain_scores_codex":[0.9998637,0.00001642396,0.00001063979,0.00004867358,0.00003568746,0.00002495074],"domain_scores_gemma":[0.9988765,0.0003240658,0.0004716408,0.0001348122,0.0001289637,0.00006403907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005264379,0.0001335064,0.8804868,0.00004821214,0.000227612,0.0005502081,0.0004431613,0.05233889,0.01777229,0.01029476,0.001742093,0.03543603],"study_design_scores_gemma":[0.00000870231,0.00005978674,0.9293112,0.000007066276,0.00002063276,0.0001983029,0.0001819031,0.06057787,0.002705156,0.005372721,0.001542038,0.00001456597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967067,0.00008958992,0.001191487,0.00008472122,0.000004296733,0.000002380227,0.0005074402,0.00002917638,0.001384183],"genre_scores_gemma":[0.9990299,0.00003805441,0.00009563439,0.000007317541,0.000007105694,0.000002092526,0.0003335124,0.00000307125,0.0004834089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001846538,"threshold_uncertainty_score":0.006177306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05663631326686896,"score_gpt":0.2771162993867645,"score_spread":0.2204799861198955,"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."}}