{"id":"W4235320525","doi":"10.5089/9781513570853.002","title":"Indonesia","year":2021,"lang":"en","type":"article","venue":"IMF Staff Country Reports","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Investment (military); Demographics; Economic recovery; Quarter (Canadian coin); Business; Development economics; Coronavirus disease 2019 (COVID-19); Economics; Economic growth; Economic policy; Political science; Geography; Politics; Macroeconomics; Medicine","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":[0.0003039446,0.0004885736,0.0002890049,0.000568761,0.001028621,0.002416936,0.0004383835,0.0007070532,0.1058343],"category_scores_gemma":[0.0004999238,0.0002502803,0.0002455258,0.0005931629,0.0002616502,0.001003119,0.0009691516,0.001347758,0.0436869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009672799,"about_ca_system_score_gemma":0.002524768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005339785,"about_ca_topic_score_gemma":0.006622695,"domain_scores_codex":[0.9998007,0.00001863584,0.00002150958,0.00004178777,0.00007324058,0.00004414919],"domain_scores_gemma":[0.9997799,0.00001905178,0.00003003464,0.0000209187,0.00007036945,0.00007979913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003056355,0.0002503401,0.01098893,0.001149257,0.00003819378,0.002206887,0.001153567,0.0004412687,0.004482589,0.03631877,0.4700545,0.47261],"study_design_scores_gemma":[0.00001007044,0.00002827684,0.009124078,0.0001428005,0.000008190775,0.0006751157,0.0004038666,0.0002288463,0.000904024,0.00148478,0.9869778,0.00001212427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02426511,0.007093031,0.002293965,0.007669681,0.002440026,0.0001918723,0.003898856,0.0008733847,0.951274],"genre_scores_gemma":[0.09105779,0.006186953,0.003874786,0.003007975,0.0003059731,0.0001487837,0.002684285,0.0003184084,0.892415],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1058343,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288620357956943,"score_gpt":0.3505269159636406,"score_spread":0.3276407123840712,"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."}}