{"id":"W4366228233","doi":"10.2139/ssrn.4408985","title":"Potential Growth Prospects: Risks, Rewards and Policies","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Slowdown; Investment (military); Tipping point (physics); Point (geometry); Economics; Annual growth %; Human capital; Quarter (Canadian coin); Percentage point; Public investment; Demographic economics; Economic policy; Economic growth; Agricultural economics; Finance; Geography; European union","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003106013,0.0005650491,0.0005668487,0.001328778,0.0008344456,0.009378373,0.0005898018,0.003795914,0.006780876],"category_scores_gemma":[0.01981594,0.0003732734,0.0003009344,0.001667839,0.002503198,0.007092539,0.001880715,0.004046584,0.001163919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011837,"about_ca_system_score_gemma":0.001215561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116154,"about_ca_topic_score_gemma":0.002157947,"domain_scores_codex":[0.9989277,0.0004019628,0.0000548308,0.0001478136,0.0003326695,0.0001350389],"domain_scores_gemma":[0.991417,0.004682465,0.001726396,0.000326038,0.0008083683,0.001039746],"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":[0.0001941112,0.00007085406,0.01237611,0.0001024003,0.00003024669,0.0002871629,0.0003884871,0.0165907,0.0002621424,0.9000173,0.008137186,0.06154344],"study_design_scores_gemma":[0.00001393345,0.00005258144,0.00527492,0.0001371401,0.00001752819,0.0002493066,0.0004414452,0.01005881,0.0001528617,0.9709089,0.01265763,0.00003495494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3124259,0.06950305,0.1093492,0.1778,0.001375998,0.0001180482,0.002166603,0.0004564392,0.3268048],"genre_scores_gemma":[0.9744841,0.009004841,0.001604237,0.0005240346,0.0006309921,0.00003000561,0.0001464253,0.00003375978,0.01354157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009378373,"threshold_uncertainty_score":0.02268422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877068674332365,"score_gpt":0.225130256901224,"score_spread":0.2063595701579003,"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."}}