{"id":"W4389204259","doi":"10.54254/2754-1169/53/20230854","title":"A Multifaceted Analysis of the Canada Unemployment Rate under Time Series —— Based on Education Level","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Autoregressive integrated moving average; Unemployment; Economics; Unemployment rate; Variety (cybernetics); Time series; Macroeconomics; Labour economics; Demographic economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000650801,0.0003936099,0.0003258344,0.0028884,0.0007699805,0.0007801288,0.0004819995,0.0002774431,0.001397059],"category_scores_gemma":[0.001958387,0.000106673,0.0005915141,0.003645396,0.0001928627,0.0002697776,0.0004534971,0.00047411,0.0002475964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003958471,"about_ca_system_score_gemma":0.005900411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9033778,"about_ca_topic_score_gemma":0.9019822,"domain_scores_codex":[0.9994473,0.00004669987,0.00002895936,0.0001123805,0.0002643849,0.0001003054],"domain_scores_gemma":[0.9990385,0.0001169015,0.0001534829,0.00004751012,0.0005396795,0.0001038743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000287339,0.000137917,0.8477501,0.0002163121,0.0005174845,0.0004848233,0.0009674994,0.03712428,0.004201069,0.004996137,0.01212404,0.09119298],"study_design_scores_gemma":[0.000004373091,0.00005000501,0.91256,0.0000300751,0.00005999932,0.00006796797,0.0007349718,0.08048189,0.0005568119,0.0002986362,0.005119437,0.00003582802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665072,0.000954634,0.007209069,0.0006241819,0.00007423332,0.00009370888,0.01676136,0.0001870568,0.007588462],"genre_scores_gemma":[0.9848117,0.0003753506,0.003519376,0.00004167315,0.00002180008,0.00003225439,0.007864657,0.00001642213,0.0033167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09662223,"threshold_uncertainty_score":0.1943825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04176536339833338,"score_gpt":0.3716664040737193,"score_spread":0.3299010406753859,"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."}}