{"id":"W1595232161","doi":"10.34989/swp-2002-36","title":"An Eclectic Approach to Estimating U.S. Potential GDP","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Art","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":[0.003676236,0.0009631802,0.0008733178,0.005459236,0.0006905257,0.003434015,0.001167579,0.001596771,0.00514624],"category_scores_gemma":[0.01374641,0.0006542354,0.001218713,0.006559168,0.0009078636,0.002162982,0.002626164,0.003702398,0.002029708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318809,"about_ca_system_score_gemma":0.001402433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004599462,"about_ca_topic_score_gemma":0.003817904,"domain_scores_codex":[0.9964778,0.001919691,0.0002408852,0.0004882224,0.0008018201,0.00007152705],"domain_scores_gemma":[0.9976421,0.001327337,0.0001966066,0.0002537524,0.000532416,0.00004780488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002982092,0.0001007569,0.00525182,0.0002273593,0.0002145254,0.0001417528,0.0004405402,0.02137632,0.000985092,0.7706671,0.007808055,0.1927568],"study_design_scores_gemma":[0.00004164501,0.0001157229,0.005138442,0.0003098599,0.00007951185,0.0003839096,0.0004493821,0.1377512,0.002584012,0.7700501,0.08298621,0.0001099942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004606336,0.001424786,0.9813797,0.002059599,0.0002654092,0.00007539899,0.0006801154,0.0001253087,0.009383381],"genre_scores_gemma":[0.09513828,0.003391734,0.8907685,0.0008933447,0.0003321564,0.0006556495,0.001110335,0.0001282463,0.007581791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005459236,"threshold_uncertainty_score":0.01944202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09502275726357727,"score_gpt":0.3114937688575202,"score_spread":0.2164710115939429,"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."}}