{"id":"W4388809736","doi":"10.61868/njhe.v11i8.181","title":"HOME ECONOMICS: PAST, PRESENT AND FUTURE IN POST COVID PANDEMIC","year":2023,"lang":"en","type":"article","venue":"Nigeria Journal of Home Economics (ISSN 2782-8131)","topic":"Education, Sociology, Communication Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underemployment; Pandemic; Unemployment; Recession; Development economics; Economic growth; Coronavirus disease 2019 (COVID-19); Commodity; Metropolitan area; Livelihood; Poverty; Quarter (Canadian coin); Political science; Business; Economics; Geography; Agriculture; Finance; Medicine; Infectious disease (medical specialty); Disease","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":[0.002572511,0.0003756801,0.0006230794,0.0009930761,0.002401072,0.009200937,0.0008529436,0.004627677,0.02122705],"category_scores_gemma":[0.00443059,0.0001795223,0.0005032332,0.001271686,0.002621886,0.008995906,0.003523423,0.008158895,0.002751499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004832654,"about_ca_system_score_gemma":0.004401889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004652409,"about_ca_topic_score_gemma":0.008176715,"domain_scores_codex":[0.9990304,0.0003206068,0.00003636769,0.00008869709,0.0001863848,0.0003376232],"domain_scores_gemma":[0.9973436,0.0007520694,0.0002200875,0.00004748723,0.0004859783,0.001150766],"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":[0.00006104923,0.0001551572,0.002495124,0.0004616157,0.00001588301,0.0002977746,0.00221267,0.0001879004,0.0001007773,0.06121067,0.7991222,0.1336792],"study_design_scores_gemma":[0.000008030885,0.0000706907,0.006601681,0.001441592,0.000008421844,0.0003111948,0.01113548,0.0001712257,0.00007191637,0.02537178,0.954763,0.00004497301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008443971,0.1121159,0.000837643,0.7990184,0.02655946,0.00003345955,0.0003082301,0.00006359008,0.0526193],"genre_scores_gemma":[0.19162,0.4362368,0.002949426,0.1909913,0.05929426,0.0001650276,0.000807937,0.0002288258,0.1177064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02122705,"threshold_uncertainty_score":0.0710116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05667505347849033,"score_gpt":0.3583784898128055,"score_spread":0.3017034363343151,"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."}}