{"id":"W7019657127","doi":"","title":"Indonesia Economic Quarterly, December 2019 : Investing in People","year":2019,"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":"Commodity; Government (linguistics); Investment (military); Quarter (Canadian coin); Mercantilism","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.009866875,0.003216679,0.005187604,0.004266636,0.001335714,0.002821259,0.009580282,0.0009620065,0.001717021],"category_scores_gemma":[0.000255274,0.002815377,0.001282502,0.004584261,0.0007707941,0.001924654,0.00404939,0.005276471,0.0413265],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01185309,"about_ca_system_score_gemma":0.01614169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02064849,"about_ca_topic_score_gemma":0.4883576,"domain_scores_codex":[0.9817852,0.00349074,0.005334666,0.004285837,0.001960719,0.003142813],"domain_scores_gemma":[0.9829156,0.002895677,0.004597985,0.007629076,0.001240471,0.0007212365],"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":[0.0005129766,0.0008261232,0.09552918,0.0009590571,0.001069383,0.0003574544,0.002768634,0.0003480916,0.0005666582,0.0006724853,0.8913116,0.005078384],"study_design_scores_gemma":[0.003744204,0.0002411804,0.1340989,0.00572798,0.001337202,0.001473927,0.0003005361,0.0008983576,0.0008823787,0.0003440405,0.8458271,0.005124216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06688384,0.01036093,0.000002776425,0.0003606932,0.01582662,0.007890115,0.000230846,0.0006164272,0.8978277],"genre_scores_gemma":[0.3845116,0.0001157099,0.0001542273,0.00009455395,0.004709526,0.00114869,0.0004166058,0.001475307,0.6073738],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4677092,"threshold_uncertainty_score":0.9999644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03389826506462224,"score_gpt":0.3189344282443793,"score_spread":0.2850361631797571,"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."}}