{"id":"W7002440848","doi":"","title":"Nigeria: Government Covid-19 Interventions to Promote Inclusive Adaptation and Economic Recovery","year":2023,"lang":"en","type":"other","venue":"OpenDocs (Institute of Development Studies)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Economic recovery; Psychological intervention; Quarter (Canadian coin); Safeguard; Pandemic; Public policy; Government revenue; Poverty; Social security; Public sector","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"],"consensus_categories":[],"category_scores_codex":[0.0003110873,0.0003272884,0.000761192,0.0002001042,0.0001517412,0.00001939024,0.0001436981,0.0001262312,0.0001529364],"category_scores_gemma":[0.001180344,0.000309685,0.0001043142,0.0001306339,0.0001064573,0.00008288324,0.000812566,0.0001352332,0.0001881835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255291,"about_ca_system_score_gemma":0.0007592941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006364211,"about_ca_topic_score_gemma":0.01282707,"domain_scores_codex":[0.9982395,0.0000204675,0.000606783,0.0005083825,0.0003696555,0.0002552293],"domain_scores_gemma":[0.9989045,0.00009322944,0.0003876549,0.0002695147,0.00004310804,0.0003019601],"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":[0.0004440547,0.0002907012,0.002115591,0.00464999,0.003981011,0.0005048997,0.003875925,0.0005503604,0.00001726092,0.0006839913,0.9097018,0.07318438],"study_design_scores_gemma":[0.001745397,0.0002986853,0.001296671,0.005497365,0.0002338366,0.00002563649,0.0008956169,0.000008866175,0.0001297724,0.00004537635,0.9894239,0.0003988823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02343604,0.02812714,0.03340981,0.02092459,0.02111214,0.0270723,0.004673714,0.002883577,0.8383607],"genre_scores_gemma":[0.01741055,0.02379138,0.1238583,0.002078403,0.0008480721,0.001531773,0.0009065931,0.001271385,0.8283036],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09044847,"threshold_uncertainty_score":0.9999355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06380939697440968,"score_gpt":0.3466124590914059,"score_spread":0.2828030621169962,"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."}}