{"id":"W6991858665","doi":"","title":"Indonesia Economic Quarterly, September 2018 : Urbanization for All","year":2018,"lang":"en","type":"report","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Subsidy; Consumption (sociology); Falling (accident); Quarter (Canadian coin); Urbanization; Unemployment; Capital (architecture); Government (linguistics); Real gross domestic product","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.007293107,0.002956207,0.003679517,0.002282172,0.002391207,0.003050008,0.007974552,0.0009889535,0.003441419],"category_scores_gemma":[0.000158934,0.00251421,0.001608076,0.002180938,0.001236318,0.001660076,0.002084146,0.001949037,0.03074941],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008707737,"about_ca_system_score_gemma":0.007876853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241072,"about_ca_topic_score_gemma":0.05822967,"domain_scores_codex":[0.9856386,0.001879451,0.00436715,0.003943086,0.001594539,0.00257723],"domain_scores_gemma":[0.9829125,0.001607732,0.004817624,0.006629132,0.003321492,0.0007114595],"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":[0.0007053418,0.0006298695,0.00142844,0.0006652231,0.002321502,0.00005236049,0.0009296522,0.00002687416,0.0004226659,0.0007035939,0.9893664,0.002748108],"study_design_scores_gemma":[0.002421361,0.0004399112,0.00363263,0.001590272,0.002928183,0.0005136032,0.00006476423,0.0006081999,0.002228652,0.0005849262,0.9818566,0.003130853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002267356,0.006295877,0.0001099662,0.0003748445,0.02609005,0.01273595,0.0008205637,0.001011539,0.9502938],"genre_scores_gemma":[0.08787514,0.00007304267,0.0005835461,0.0001605212,0.02214289,0.003655845,0.00180702,0.002258368,0.8814436],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08560778,"threshold_uncertainty_score":0.9989076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04695506511854726,"score_gpt":0.3410393233895228,"score_spread":0.2940842582709756,"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."}}