{"id":"W4396713276","doi":"10.2139/ssrn.4818318","title":"Labor Market Shocks and Monetary Policy","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Monetary policy; Monetary economics; Economics","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":[0.0005599593,0.0001896467,0.0003669401,0.0008253503,0.0003403541,0.002842038,0.0001917835,0.001144495,0.01478588],"category_scores_gemma":[0.004182045,0.0001549116,0.0002052459,0.001499786,0.0005108081,0.000973952,0.0005331867,0.001059191,0.001393758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008843067,"about_ca_system_score_gemma":0.000656447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008287804,"about_ca_topic_score_gemma":0.006400794,"domain_scores_codex":[0.9998509,0.00005470272,0.00001074941,0.00001662962,0.00001614479,0.00005094596],"domain_scores_gemma":[0.9986795,0.000737407,0.0003476315,0.00003738374,0.00005245948,0.0001456158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002709999,0.0008551782,0.3555296,0.0004681456,0.0003848042,0.002636526,0.001990401,0.04017843,0.001463183,0.3673134,0.07579631,0.150674],"study_design_scores_gemma":[0.0003234378,0.0002954643,0.3967504,0.0005122423,0.0002402153,0.0004013653,0.004304131,0.04090392,0.0009171123,0.48843,0.06683294,0.00008887493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8537456,0.02600155,0.002378592,0.04688691,0.001259062,0.0000250858,0.002632451,0.000102142,0.06696858],"genre_scores_gemma":[0.9797876,0.006756048,0.0000895482,0.0006430203,0.0005455483,0.000007847727,0.0003840349,0.00001106795,0.01177529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478588,"threshold_uncertainty_score":0.04946369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669009046443349,"score_gpt":0.2191125301925284,"score_spread":0.2024224397280949,"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."}}