{"id":"W6928000212","doi":"10.34989/san-2024-10","title":"Assessing global potential output growth: April 2024","year":2024,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Early Modern Spanish Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Potential output; Productivity; Workforce; Capital (architecture); Total factor productivity; Human capital; Consumption (sociology); Capital accumulation; Asset (computer security)","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":[0.002229741,0.001955996,0.0005837217,0.00488475,0.001244335,0.004366788,0.001404847,0.0008677048,0.009591389],"category_scores_gemma":[0.005837766,0.0004746253,0.0008769408,0.00647282,0.0006451654,0.002172574,0.002009053,0.001434206,0.00587956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02183321,"about_ca_system_score_gemma":0.03076202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8234912,"about_ca_topic_score_gemma":0.7639377,"domain_scores_codex":[0.9972293,0.0001079608,0.00008782238,0.0001030672,0.002159786,0.0003120902],"domain_scores_gemma":[0.9940504,0.00009676415,0.0002047175,0.00007303264,0.005290273,0.0002846081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002508638,0.00004301157,0.02845372,0.001162939,0.0001443048,0.0002324829,0.0002988846,0.01099922,0.0005857782,0.01553077,0.8506561,0.09164202],"study_design_scores_gemma":[0.00002097095,0.00004260777,0.07128467,0.0007016202,0.00005024916,0.00007939128,0.0005109555,0.005880681,0.001482191,0.002874305,0.9169789,0.00009346062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02773065,0.01681431,0.01053977,0.01673741,0.00411904,0.000499923,0.6455221,0.002484547,0.2755524],"genre_scores_gemma":[0.3243926,0.03202334,0.02424701,0.003663836,0.001045656,0.001067585,0.4973524,0.001386457,0.1148211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8234912,"threshold_uncertainty_score":0.3550966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06315284805435897,"score_gpt":0.3223707100816728,"score_spread":0.2592178620273139,"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."}}