{"id":"W3125443728","doi":"10.1111/j.0008-4085.2006.00349.x","title":"Common trends and common cycles in Canada: who knew so much has been going on?","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Economics; Point (geometry); Econometrics; Macroeconomics; Economic geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001181179,0.0003414513,0.0006169499,0.003196013,0.003394547,0.004655523,0.0008539534,0.0006107576,0.007001246],"category_scores_gemma":[0.008143194,0.0001761187,0.0004439978,0.009781618,0.002530152,0.002104865,0.0009582681,0.001177643,0.0003172407],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08022222,"about_ca_system_score_gemma":0.07690263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971061,"about_ca_topic_score_gemma":0.9966251,"domain_scores_codex":[0.9990381,0.00006605227,0.00003478209,0.0001637351,0.0003802667,0.0003170609],"domain_scores_gemma":[0.9949322,0.0005256233,0.0005889902,0.0001581662,0.00320802,0.0005869627],"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":[0.0003334682,0.00004180929,0.2853246,0.0008079314,0.0003021944,0.0007570743,0.009324523,0.01220171,0.0005406957,0.3261074,0.1189401,0.2453184],"study_design_scores_gemma":[0.00004128397,0.00003482794,0.5682153,0.001333359,0.0002933642,0.0002348523,0.01278296,0.02016752,0.0008887898,0.09408269,0.3016574,0.0002675861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5753607,0.06615008,0.01155158,0.1229419,0.0006963274,0.0001210891,0.02739149,0.0002990094,0.1954879],"genre_scores_gemma":[0.9626673,0.01564914,0.001716031,0.001486278,0.000112597,0.0000155083,0.002671883,0.00005320304,0.0156281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9197778,"threshold_uncertainty_score":0.5820557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09602178891296237,"score_gpt":0.1721060006028299,"score_spread":0.07608421168986748,"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."}}