{"id":"W7114992371","doi":"10.34989/san-2025-29","title":"PULSE check: Measuring underlying inflation and its drivers","year":2025,"lang":"","type":"article","venue":"Bank of Canada Research","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Inflation (cosmology); Measure (data warehouse); Component (thermodynamics); Pulse (music); Inflation targeting; Real interest rate","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":[0.000943164,0.000269977,0.0003305956,0.002910912,0.0009729781,0.001746504,0.0005259941,0.0002255243,0.003548115],"category_scores_gemma":[0.00749066,0.0001664214,0.000227829,0.005878644,0.000472669,0.0007105289,0.0009928959,0.0007821181,0.0004775124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008181643,"about_ca_system_score_gemma":0.02001337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9293336,"about_ca_topic_score_gemma":0.9398511,"domain_scores_codex":[0.9988155,0.00005960605,0.00004383521,0.00008942861,0.0008059074,0.0001857693],"domain_scores_gemma":[0.9935378,0.0006070395,0.000909975,0.0002435938,0.004032082,0.0006694057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000154421,0.00004809627,0.9044201,0.0001059162,0.0001347353,0.00007165749,0.0009250455,0.002843351,0.0004187882,0.007073089,0.03222415,0.05158061],"study_design_scores_gemma":[0.0000110026,0.00003121959,0.9764478,0.00003140302,0.00002898259,0.00003474615,0.0008955948,0.005119021,0.0004759876,0.0009645788,0.01592795,0.00003169595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8329723,0.0006685311,0.006701563,0.002115496,0.0001044502,0.0002142015,0.1059793,0.000755665,0.05048848],"genre_scores_gemma":[0.9657556,0.0003809325,0.002488151,0.0001424683,0.00003974322,0.00006440524,0.02558703,0.00006952978,0.005472105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07066643,"threshold_uncertainty_score":0.1421651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226119006596341,"score_gpt":0.3811392161930852,"score_spread":0.258527315533451,"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."}}