{"id":"W1525280589","doi":"10.2139/ssrn.2572774","title":"Output Growth and Inflation across Space and Time","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Inflation (cosmology); Economics; Keynesian economics; Monetary economics; Econometrics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001260327,0.0002977869,0.0004453294,0.001300773,0.0003860802,0.00246211,0.0003122224,0.001072442,0.007354712],"category_scores_gemma":[0.01002423,0.0002364817,0.0006947235,0.003780104,0.001056187,0.002767785,0.001574719,0.001147971,0.001462871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004211025,"about_ca_system_score_gemma":0.0002528679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005285366,"about_ca_topic_score_gemma":0.005073074,"domain_scores_codex":[0.9994594,0.0001660999,0.00004720319,0.0001325687,0.00007745897,0.0001172708],"domain_scores_gemma":[0.9926013,0.003767821,0.002218054,0.0003953532,0.000476932,0.0005404113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001419212,0.0001568069,0.9269201,0.0001073696,0.0005230222,0.000713815,0.001694518,0.01600364,0.001250046,0.01778029,0.002209456,0.03122179],"study_design_scores_gemma":[0.00002415993,0.0002209439,0.955453,0.0000587449,0.0001862078,0.0006596593,0.002196719,0.01725208,0.000507272,0.01954014,0.003854386,0.00004660099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877754,0.00172548,0.001990604,0.001470373,0.00006718412,0.000002953931,0.001461864,0.00004174812,0.005464263],"genre_scores_gemma":[0.9962998,0.0005512433,0.0001645962,0.00003029064,0.00004978926,0.000002645071,0.0009018311,0.00001302826,0.001986879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007354712,"threshold_uncertainty_score":0.02460396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554192165416702,"score_gpt":0.2260459782048412,"score_spread":0.1905040565506742,"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."}}