{"id":"W2902566618","doi":"","title":"Unemployment and confidence in Canada: Evidence from national and regional level data","year":2018,"lang":"en","type":"article","venue":"Economics bulletin","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Confidence interval; Causality (physics); Economics; Demographic economics; Unemployment rate; Econometrics; Panel data; Labour economics; Statistics; Macroeconomics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001016531,0.0001354781,0.0002834252,0.00006731199,0.00006791209,0.00008348272,0.0003446349,0.00005559958,0.0006838967],"category_scores_gemma":[0.0003037619,0.0001703661,0.00001254065,0.00005146475,0.0001220374,0.0001601742,0.000328302,0.0001117273,0.00007759599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004026344,"about_ca_system_score_gemma":0.0003314069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7732382,"about_ca_topic_score_gemma":0.7998635,"domain_scores_codex":[0.998507,0.00002206005,0.0005610129,0.0006649513,0.0000357649,0.0002092734],"domain_scores_gemma":[0.9988988,0.0003426468,0.0002328901,0.0003918473,0.00004074155,0.00009306618],"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":[0.00008018214,0.00003783797,0.478743,0.00001959548,0.00006029033,0.000006861875,0.0002137097,0.0000484243,0.000005442969,0.5062672,0.01294649,0.001570963],"study_design_scores_gemma":[0.0007987724,0.00003602809,0.5949968,0.00007434493,0.000004256761,0.000007191437,0.00008779305,0.03087305,0.00001200439,0.1795651,0.1930443,0.0005003086],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828412,0.001596353,0.0003176912,0.01064944,0.0002627863,0.0001267212,0.0021592,0.000006298753,0.002040346],"genre_scores_gemma":[0.9948875,0.001508128,0.001436835,0.001693325,0.0001607985,0.000008096965,0.00007216205,0.00001350684,0.0002196045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3267021,"threshold_uncertainty_score":0.7488189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1573583573256067,"score_gpt":0.2573223655183777,"score_spread":0.09996400819277096,"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."}}