{"id":"W3121337183","doi":"","title":"Taking Monetary Aggregates Seriously","year":2010,"lang":"en","type":"article","venue":"e-briefs","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Market liquidity; Monetary economics; Monetary policy; Money supply; Liquidity trap; Monetarism; Macroeconomics; Liquidity crisis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002020873,0.00006953489,0.0000838569,0.00002737238,0.0003794989,0.00008143527,0.0002291558,0.00008623132,0.001815659],"category_scores_gemma":[0.0003265727,0.00007512337,0.00004662022,0.000169828,0.0002144023,0.0001856416,0.00002088497,0.0001960135,0.0003196481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003127071,"about_ca_system_score_gemma":0.000191599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3173606,"about_ca_topic_score_gemma":0.4802265,"domain_scores_codex":[0.9992149,0.00002667181,0.00009124853,0.0001470028,0.0001937247,0.0003264011],"domain_scores_gemma":[0.9994985,0.00004901903,0.00009038234,0.0001621206,0.00002418165,0.0001757896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002098348,0.00005181807,0.01407417,0.00001888267,0.00003895692,0.0001507456,0.03964976,0.000007520322,0.003659585,0.2827167,0.5341935,0.1254174],"study_design_scores_gemma":[0.00008000425,0.000006520892,0.03102422,0.000008736803,0.000003179244,0.000002856883,0.00009493838,0.000006955271,0.0002556973,0.002420918,0.9659845,0.0001114354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981942,0.0003326312,0.000007053536,0.02620873,0.0008623581,0.000129267,0.00004976576,0.00009463253,0.1741214],"genre_scores_gemma":[0.9684368,0.00005167834,0.0002303803,0.004794922,0.001021431,0.000004958461,0.000001944377,0.000009729151,0.02544815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.431791,"threshold_uncertainty_score":0.9990968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289224550912254,"score_gpt":0.2744086057436259,"score_spread":0.2615163602345034,"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."}}