{"id":"W1588095247","doi":"10.1016/j.jmoneco.2016.03.001","title":"Labor market participation, unemployment and monetary policy","year":2016,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Wilfrid Laurier University","funders":"","keywords":"Economics; Unemployment; Volatility (finance); New Keynesian economics; Monetary policy; Inflation (cosmology); Wage; Reservation wage; Matching (statistics); Labour economics; Monetary economics; Macroeconomics; Econometrics","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":[0.002057137,0.0002187961,0.0004810264,0.000705084,0.001062147,0.00267401,0.0003765013,0.001750736,0.01255926],"category_scores_gemma":[0.006773442,0.0001984822,0.0002767589,0.001255733,0.0009588698,0.001254131,0.001159526,0.001042723,0.0006668199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006466401,"about_ca_system_score_gemma":0.001093754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202544,"about_ca_topic_score_gemma":0.01890595,"domain_scores_codex":[0.9993234,0.0003089163,0.00002835055,0.00003832578,0.00004160034,0.0002595151],"domain_scores_gemma":[0.9955876,0.002611538,0.0007657531,0.00008149417,0.0001187016,0.0008349321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002238615,0.001832713,0.8205152,0.0003495723,0.0004254633,0.001155563,0.004612562,0.008840431,0.0007106965,0.09161143,0.01391707,0.05379073],"study_design_scores_gemma":[0.0003125679,0.0004776282,0.8022872,0.0003558447,0.0002802984,0.000397936,0.0140989,0.01726221,0.0002204316,0.1433951,0.02085632,0.000055523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668692,0.004479613,0.0007360621,0.01228046,0.0001262888,0.00001814404,0.0004494305,0.00000854392,0.01503232],"genre_scores_gemma":[0.993933,0.001071168,0.00004876767,0.0002564667,0.0002282528,0.00001273604,0.0001296544,0.000002620368,0.004317254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01255926,"threshold_uncertainty_score":0.04201496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132600277461789,"score_gpt":0.2293753709797721,"score_spread":0.2080493682051542,"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."}}