{"id":"W4413399571","doi":"10.34293/2321-2012.2025.0002.4","title":"Constructing an Enhanced Unemployment Model in Canada, Using ARDL","year":2025,"lang":"en","type":"article","venue":"SMART Journal of Business Management Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Mathematics; Econometrics; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001084722,0.0006439178,0.0007104408,0.001188287,0.001500899,0.001908118,0.001398278,0.000983328,0.004144104],"category_scores_gemma":[0.002803382,0.0004448458,0.0009917973,0.001343905,0.0006622248,0.0005316328,0.001085222,0.00126801,0.0004602772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009932853,"about_ca_system_score_gemma":0.01262796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9183424,"about_ca_topic_score_gemma":0.8389096,"domain_scores_codex":[0.9994978,0.0001216614,0.00001931331,0.0001142211,0.00008019708,0.0001669017],"domain_scores_gemma":[0.9991028,0.0003367652,0.00007650281,0.00003318701,0.0003724972,0.00007824662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000120261,0.00005198374,0.01562848,0.00005683515,0.00006655743,0.000320988,0.0002632721,0.9461841,0.0002908751,0.02295079,0.002902173,0.01116367],"study_design_scores_gemma":[0.00001399569,0.00001118445,0.002677892,0.00001239915,0.00002055119,0.0000140891,0.00008226114,0.993795,0.00004952187,0.001805508,0.001503652,0.00001393477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7886283,0.001307903,0.167331,0.002393088,0.0001702274,0.0002758152,0.006676082,0.0007505548,0.03246694],"genre_scores_gemma":[0.9610909,0.0006334506,0.02150059,0.000100554,0.00003952404,0.0001205644,0.002425483,0.00006199483,0.01402689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08165759,"threshold_uncertainty_score":0.1642769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139286326643713,"score_gpt":0.2718684030808096,"score_spread":0.2204755398143725,"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."}}