{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001784899,0.0002876631,0.0007198725,0.002480872,0.002232943,0.001955485,0.001317757,0.0004758244,0.002583693],"category_scores_gemma":[0.01064572,0.0003059877,0.0007432349,0.009223247,0.0009222702,0.0005507168,0.001511791,0.001017817,0.0002915373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01389086,"about_ca_system_score_gemma":0.01900737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954764,"about_ca_topic_score_gemma":0.995552,"domain_scores_codex":[0.9984079,0.000199189,0.0001203843,0.0002113708,0.0005752167,0.0004859921],"domain_scores_gemma":[0.9873859,0.002191681,0.002885564,0.0006151512,0.005101015,0.001820756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001312846,0.00002726471,0.9883271,0.00006229389,0.000191619,0.00007961615,0.0007347802,0.0005618249,0.00004300802,0.0005082578,0.002582701,0.006750148],"study_design_scores_gemma":[0.000007202031,0.000009251817,0.9965119,0.00006271569,0.00004991912,0.00002134078,0.0007812626,0.0006801623,0.00004107946,0.00007784168,0.001742359,0.00001493258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689642,0.003415672,0.0004688118,0.001394458,0.00003450936,0.00002470409,0.02048482,0.00003007639,0.005182713],"genre_scores_gemma":[0.9904718,0.001314369,0.0001931085,0.0001069917,0.00001142241,0.000009498127,0.006956793,0.000009011551,0.000926872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01389086,"threshold_uncertainty_score":0.1007857,"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."}}