{"id":"W2902341459","doi":"10.2139/ssrn.3127793","title":"National Transfer Accounts for Colombia","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Social Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Exploit; Demographic dividend; Transfer (computing); Consumption (sociology); Dividend; Government (linguistics); Transfer payment; Sustainability; Economics; Production (economics); Public policy; Income Support; Basic income; Demographic economics; Labour economics; Public economics; Business; Economic growth; Macroeconomics; Market economy; Finance; Welfare","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004659935,0.0003449069,0.0003596442,0.003133879,0.001917232,0.003682457,0.0004951431,0.001029184,0.0411793],"category_scores_gemma":[0.002056376,0.0001880581,0.0002093195,0.004092393,0.0003659555,0.001365462,0.001173999,0.001166198,0.00376616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01147451,"about_ca_system_score_gemma":0.004857948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2990246,"about_ca_topic_score_gemma":0.3582907,"domain_scores_codex":[0.9993206,0.000055982,0.00003170219,0.00007780496,0.0002124903,0.0003014353],"domain_scores_gemma":[0.9992709,0.0001125111,0.00009498767,0.00007341283,0.0003439722,0.000104258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005627796,0.0001037646,0.02746711,0.0008249104,0.00005012994,0.0007718839,0.003581205,0.001215062,0.0005937229,0.1512094,0.6892415,0.1243785],"study_design_scores_gemma":[0.00002537175,0.00002417312,0.08802236,0.0001922961,0.00003137148,0.0001791595,0.002839697,0.000784583,0.0005391905,0.003208836,0.9041148,0.00003821719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1383018,0.009200578,0.0003684048,0.007458625,0.0005974704,0.00012745,0.04384738,0.000542984,0.7995554],"genre_scores_gemma":[0.6230546,0.004042902,0.0005047559,0.0007333835,0.0001984928,0.0001752085,0.01533775,0.0001628438,0.3557901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2990246,"threshold_uncertainty_score":0.5945683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005219251259176,"score_gpt":0.3067611441403793,"score_spread":0.2867089516277875,"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."}}