{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002292677,0.001955321,0.0006548304,0.003827544,0.002164059,0.006506421,0.001274181,0.00180876,0.0864804],"category_scores_gemma":[0.01125739,0.0005896124,0.0004187244,0.009081321,0.0008353533,0.005959164,0.002677877,0.003080119,0.06920407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00456995,"about_ca_system_score_gemma":0.01414099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1057754,"about_ca_topic_score_gemma":0.132521,"domain_scores_codex":[0.9987619,0.0002045553,0.0001707083,0.00008871141,0.0006349869,0.0001391107],"domain_scores_gemma":[0.9928578,0.0004441018,0.0006022408,0.0002807521,0.004822953,0.0009921558],"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":[0.000005631236,0.000006206245,0.0002834427,0.0001601473,0.000001665546,0.00001450924,0.00006766063,0.00002291803,0.00001044584,0.0003635342,0.9841262,0.01493768],"study_design_scores_gemma":[0.000003451873,0.0000054981,0.002702286,0.0004028615,0.000002858149,0.00002730626,0.0002081586,0.00002701811,0.00002305025,0.0002009085,0.9963872,0.000009379004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00308799,0.1205373,0.001199015,0.1655518,0.04888786,0.0003937677,0.1524521,0.004020044,0.5038702],"genre_scores_gemma":[0.02716634,0.1898145,0.005523734,0.03299148,0.0259418,0.001304084,0.1207544,0.002128072,0.5943756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1057754,"threshold_uncertainty_score":0.2893058,"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."}}