{"id":"W6924012542","doi":"10.15456/jae.2022327.0711999039","title":"Introducing the Bank of Canada staff economic projections database (replication data)","year":2020,"lang":"en","type":"other","venue":"ZBW Journal Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Predictability; Inflation (cosmology); Index (typography); Economic forecasting; Set (abstract data type); Economic data; Data set; Monetary policy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001337983,0.0003987797,0.0005264171,0.0003584935,0.000352412,0.0001456131,0.007082315,0.00005982764,0.002220311],"category_scores_gemma":[0.001219779,0.0003086664,0.0000519615,0.0002314498,0.0002087483,0.0005977976,0.00377159,0.00142902,0.000359966],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000346914,"about_ca_system_score_gemma":0.006237989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4695646,"about_ca_topic_score_gemma":0.8903376,"domain_scores_codex":[0.9963698,0.0005112212,0.0007763625,0.001331216,0.0005582006,0.0004531927],"domain_scores_gemma":[0.9865234,0.0003173969,0.001809542,0.01103084,0.00003788806,0.0002808716],"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":[0.00003978407,0.00004205129,0.00003508642,0.00006730494,0.0005602669,0.00002376891,0.0001273159,0.0001097546,0.000496523,0.0002423838,0.9960645,0.002191239],"study_design_scores_gemma":[0.0003012608,0.00002862064,0.00007604174,0.0002785748,0.0003104553,0.0003236841,0.0003670575,0.006530707,0.00003156678,0.00007518943,0.9913778,0.0002990351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001896515,0.0009089063,0.006188291,0.002702479,0.001294169,0.00109474,0.8874348,0.00009629936,0.1002613],"genre_scores_gemma":[0.000578657,0.005302548,0.05887315,0.0005780456,0.02102715,0.00006751034,0.8529953,0.004189133,0.05638852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.420773,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813467160572873,"score_gpt":0.2942796234343247,"score_spread":0.2461449518285959,"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."}}