{"id":"W6995693351","doi":"","title":"Philippines Quarterly Update, December 2011 : Sustaining Growth in Uncertain Times","year":2017,"lang":"en","type":"report","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disbursement; Government (linguistics); Quarter (Canadian coin); Consumption (sociology); Public sector; Production (economics); Agriculture; Investment (military)","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003203064,0.001232242,0.00139462,0.0006742918,0.001132533,0.001058221,0.004864906,0.0005793261,0.0005380153],"category_scores_gemma":[0.0005057929,0.0009764521,0.0004951545,0.000480935,0.0005572471,0.00007637645,0.002198205,0.001692821,0.0003610939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004607233,"about_ca_system_score_gemma":0.003335777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502806,"about_ca_topic_score_gemma":0.0148467,"domain_scores_codex":[0.9941369,0.0007943637,0.001771527,0.001348706,0.0007726409,0.001175901],"domain_scores_gemma":[0.9932377,0.0001999851,0.00179789,0.00330481,0.001218088,0.0002415317],"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":[0.0004108868,0.0003941708,0.01040602,0.001070358,0.0008630656,0.0002140066,0.0009900321,0.00008947211,0.0007692738,0.0006336209,0.9669759,0.01718318],"study_design_scores_gemma":[0.001040643,0.0002424304,0.004002118,0.0009687758,0.0002739361,0.0003200686,0.0001496936,0.0003843609,0.00174878,0.0002878091,0.9890756,0.001505756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002982419,0.008466911,0.0000376488,0.0009980267,0.00351282,0.001975805,0.00004376369,0.00009016741,0.9818925],"genre_scores_gemma":[0.2031705,0.0005528923,0.0008983339,0.0001765361,0.00364582,0.0003776147,0.0007211094,0.0002842311,0.7901729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2001881,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206787040923976,"score_gpt":0.3245818618222803,"score_spread":0.3039031577298827,"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."}}