{"id":"W1045492041","doi":"","title":"Estimating Canada's NAIRU","year":2004,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"NAIRU; Econometrics; Economics; Keynesian economics; Macroeconomics; Unemployment; Phillips curve","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001559798,0.0003455675,0.0005080592,0.002242407,0.00129551,0.002024331,0.0008893086,0.0004949555,0.002594505],"category_scores_gemma":[0.006422529,0.000343836,0.0005801688,0.00350042,0.0003051237,0.0006421605,0.0007959699,0.0009317727,0.0003748533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02490849,"about_ca_system_score_gemma":0.03311227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909701,"about_ca_topic_score_gemma":0.9904858,"domain_scores_codex":[0.999024,0.00009566484,0.00003910055,0.0002121741,0.0004274072,0.0002016829],"domain_scores_gemma":[0.997052,0.0003505363,0.0002684389,0.0001009415,0.002032922,0.0001952497],"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":[0.0001970235,0.00006584606,0.7380348,0.0003213241,0.0006070343,0.0002054841,0.00148928,0.09720375,0.0006150392,0.02957447,0.03720273,0.09448323],"study_design_scores_gemma":[0.00004691712,0.00004866119,0.6791481,0.0002889911,0.0002036662,0.00007369635,0.002746041,0.2530479,0.00148795,0.003978444,0.05878974,0.0001398806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8558257,0.003075388,0.02639014,0.004227175,0.0001521785,0.0001965771,0.04990137,0.000915648,0.05931583],"genre_scores_gemma":[0.9685733,0.0007284798,0.01049761,0.0001470173,0.00001746479,0.00005456954,0.01129704,0.00005873471,0.008625818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02490849,"threshold_uncertainty_score":0.1807246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139591740819345,"score_gpt":0.1817253885383117,"score_spread":0.1677662144563772,"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."}}