{"id":"W6946738693","doi":"10.34989/san-2025-15","title":"Assessing global potential output growth: April 2025","year":2025,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Plant-Derived Bioactive Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economic forecasting; Key (lock); Potential output; Monetary policy; Forecast period","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":[],"consensus_categories":[],"category_scores_codex":[0.0004867167,0.0001478034,0.000244101,0.0001092232,0.0002596359,0.0001304743,0.0006772666,0.0001342677,0.0003856586],"category_scores_gemma":[0.0005924419,0.0001533734,0.0000624759,0.0005267027,0.0002075075,0.0001329328,0.0003817227,0.0004709014,0.000003804048],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012905,"about_ca_system_score_gemma":0.00687939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.343386,"about_ca_topic_score_gemma":0.1898001,"domain_scores_codex":[0.997245,0.000107646,0.0002755692,0.0003618363,0.001326403,0.0006835735],"domain_scores_gemma":[0.998439,0.000284817,0.00005928192,0.000364972,0.0006957102,0.0001562446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003065082,0.00017941,0.01049967,0.0008019841,0.0003611146,0.0005277508,0.00002093595,0.00004519943,0.5226216,0.004662996,0.4411739,0.0187989],"study_design_scores_gemma":[0.002451265,0.00004820124,0.0573229,0.0007116956,0.00007166973,0.00005337186,0.001620104,0.002852095,0.8058336,0.006641875,0.1216281,0.0007650817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5936919,0.0005060292,0.0003195784,0.002804242,0.0003193255,0.00009074048,0.0002121297,0.00003454222,0.4020215],"genre_scores_gemma":[0.9922065,0.00001728591,0.0001832231,0.00006471904,0.0001209876,0.000008834792,0.00003300581,0.000009609525,0.007355828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3985146,"threshold_uncertainty_score":0.9987507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04763786705096939,"score_gpt":0.3470588300959626,"score_spread":0.2994209630449932,"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."}}