{"id":"W4403689039","doi":"10.2139/ssrn.4996165","title":"<span>Bumps in the Road: Ever-Evolving Monetary Policy in Canada</span>","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Span (engineering); Life span; Engineering; Structural engineering; Biology; Evolutionary biology","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":[0.001492973,0.0003476627,0.0005433422,0.001622627,0.01529943,0.0145606,0.001335428,0.006047643,0.02739017],"category_scores_gemma":[0.004787925,0.0003268793,0.0005097208,0.004198731,0.004019064,0.003677848,0.002810358,0.005778721,0.00127438],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1479056,"about_ca_system_score_gemma":0.2339845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946415,"about_ca_topic_score_gemma":0.9977098,"domain_scores_codex":[0.9975673,0.000162887,0.00004072022,0.0001546728,0.0007890792,0.001285458],"domain_scores_gemma":[0.997232,0.0002526106,0.0001610061,0.00004394229,0.0009626292,0.001347812],"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":[0.0001076669,0.00003544246,0.009255645,0.0001442223,0.0000389393,0.0005077879,0.004756825,0.001606479,0.0003397627,0.3599401,0.5837872,0.03947995],"study_design_scores_gemma":[0.00003735251,0.00001799144,0.0542924,0.0004105615,0.00004624536,0.0001247789,0.01977171,0.003494873,0.0005456454,0.06633382,0.8547297,0.0001949925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07080876,0.02215699,0.0009781218,0.7113034,0.00219679,0.00003645218,0.003714541,0.0001723821,0.1886325],"genre_scores_gemma":[0.6909916,0.01320509,0.0022118,0.04381771,0.0006123279,0.00003431664,0.0009737078,0.0002809852,0.2478724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1479056,"threshold_uncertainty_score":0.9883087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00748426972354437,"score_gpt":0.24878667295784,"score_spread":0.2413024032342956,"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."}}