{"id":"W6965292868","doi":"10.34989/sdp-2023-29","title":"Making It Real: Bringing Research Models into Central Bank Projections","year":2023,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Projection (relational algebra); Scope (computer science); Central bank; Judgement; Set (abstract data type); Bridge (graph theory); Macroeconomic model","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":[0.03235508,0.001191374,0.001009902,0.002547332,0.002340518,0.01607127,0.002977539,0.003181537,0.006622064],"category_scores_gemma":[0.07288113,0.001319377,0.001110144,0.00403868,0.005646083,0.01708359,0.006282893,0.006254102,0.00107291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01924162,"about_ca_system_score_gemma":0.04149604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1212632,"about_ca_topic_score_gemma":0.1184109,"domain_scores_codex":[0.979943,0.01564334,0.0006628548,0.001087361,0.001976729,0.0006867875],"domain_scores_gemma":[0.9508556,0.03291301,0.002433026,0.004395975,0.007328404,0.002074001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003165779,0.00003097238,0.001097561,0.0001731157,0.00003208918,0.00006691583,0.001466435,0.1141027,0.00007552146,0.8593476,0.005633868,0.01794149],"study_design_scores_gemma":[0.0000225725,0.00001363956,0.0002682396,0.0004123976,0.00002398713,0.00002300927,0.001229707,0.09643641,0.0001197337,0.8561891,0.04522057,0.00004064379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01527948,0.004107785,0.7978433,0.08943698,0.0007626908,0.000427131,0.001398164,0.0009576606,0.08978689],"genre_scores_gemma":[0.4112967,0.007588804,0.5703047,0.002802068,0.00039473,0.0009357549,0.0009913765,0.000401105,0.005284701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1212632,"threshold_uncertainty_score":0.2411147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157965229095558,"score_gpt":0.31077481621497,"score_spread":0.1949782933054142,"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."}}