{"id":"W4214592539","doi":"10.1108/oxan-db254734","title":"Pandemic will take heavy economic toll in Colombia","year":2020,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"History and Politics in Latin America","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Toll; Economics; Economic recovery; Government (linguistics); Incentive; Market liquidity; Economic policy; Economy; Development economics; Monetary economics; Economic growth; Macroeconomics; Market economy; Geography","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":[0.0008522865,0.0007185874,0.0003618675,0.0008131233,0.003123019,0.004262418,0.0005121041,0.002702613,0.04358717],"category_scores_gemma":[0.001599544,0.0001047449,0.0004192266,0.0005764469,0.001452591,0.002037443,0.002923639,0.003062505,0.004767008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00824043,"about_ca_system_score_gemma":0.007164101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08310581,"about_ca_topic_score_gemma":0.1196493,"domain_scores_codex":[0.9993342,0.0001148144,0.00002272006,0.00004902243,0.0001329322,0.0003463351],"domain_scores_gemma":[0.9991688,0.0001201258,0.00006488718,0.00004108808,0.0002343573,0.0003707886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008638104,0.00005395827,0.002507439,0.001380901,0.00001628859,0.0009983253,0.001373419,0.000185749,0.0008791082,0.03520478,0.8444114,0.1129021],"study_design_scores_gemma":[0.000007277116,0.00001463391,0.00349672,0.0004410712,0.000005922582,0.0001606517,0.002224885,0.00004592218,0.0001324717,0.002411168,0.9910419,0.00001736385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01375218,0.09972495,0.0005280694,0.3426183,0.02750281,0.0001331954,0.003323504,0.0006122338,0.5118048],"genre_scores_gemma":[0.3251055,0.1156707,0.002632949,0.1619246,0.01102755,0.0003262005,0.00410784,0.0004625905,0.378742],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08310581,"threshold_uncertainty_score":0.1652442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577044687020096,"score_gpt":0.3184735766753424,"score_spread":0.2927031298051414,"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."}}