{"id":"W1697014722","doi":"10.2139/ssrn.1600328","title":"Differences in Canadian and US Income Levels, 1961 to 2008","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Demographic economics; Economics; Econometrics","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":[0.0007718329,0.000438585,0.0003914978,0.00348119,0.001852402,0.001638025,0.001090648,0.0006000089,0.00565486],"category_scores_gemma":[0.003550012,0.000216854,0.0009419408,0.01012483,0.0005084164,0.0006275441,0.0009831758,0.001229141,0.00104838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0264496,"about_ca_system_score_gemma":0.02966749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952843,"about_ca_topic_score_gemma":0.9970504,"domain_scores_codex":[0.998946,0.0000309508,0.00006318793,0.0001471556,0.0003199524,0.0004926958],"domain_scores_gemma":[0.9964958,0.0001163061,0.0004993826,0.00006567065,0.002361346,0.0004615326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009936381,0.00007973301,0.8924602,0.0002828444,0.0003652076,0.0002705936,0.001718661,0.001193359,0.0002581692,0.003375968,0.06832308,0.03067863],"study_design_scores_gemma":[0.000007695873,0.00001079726,0.9829474,0.00004215646,0.00003633376,0.00005258112,0.0006748119,0.0001577216,0.0001059823,0.00004269379,0.01590624,0.00001561204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7446337,0.006079461,0.0003420483,0.004197437,0.0003343511,0.00004838514,0.2186602,0.0001519362,0.02555255],"genre_scores_gemma":[0.9088004,0.003408646,0.0004106369,0.000409666,0.00009424826,0.00002607901,0.06625457,0.00004068369,0.0205551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0264496,"threshold_uncertainty_score":0.1919062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980244292269213,"score_gpt":0.2128751906763636,"score_spread":0.1830727477536714,"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."}}