{"id":"W4402722354","doi":"10.1080/14778238.2024.2406872","title":"Indigenous knowledge management: a catalyst for food security among Ghanaian yam farmers during COVID-19","year":2024,"lang":"en","type":"article","venue":"Knowledge Management Research & Practice","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Traditional knowledge; Indigenous; Food security; Business; Coronavirus disease 2019 (COVID-19); Intellectual capital; Knowledge management; Agriculture; Biology; Medicine; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008485091,0.000553195,0.0004406353,0.003184771,0.002351195,0.002709022,0.001215867,0.0001970463,0.0003855224],"category_scores_gemma":[0.0006561587,0.0005917731,0.0002518042,0.003349339,0.0003037438,0.003319727,0.001873461,0.0008670619,0.004540967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775446,"about_ca_system_score_gemma":0.0003086557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002129197,"about_ca_topic_score_gemma":0.0008409442,"domain_scores_codex":[0.9949473,0.0001920983,0.0009035115,0.001471498,0.0008124431,0.001673172],"domain_scores_gemma":[0.9973477,0.0006038242,0.0002640561,0.0008198519,0.000795693,0.0001688855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000401803,0.001158836,0.0009480809,0.01951564,0.002456576,0.0004579643,0.01059064,0.00001682865,0.00001087284,0.8052653,0.1213505,0.03782694],"study_design_scores_gemma":[0.001577232,0.00004718594,0.0009410578,0.0002132586,0.0002658968,0.000007309981,0.02722553,0.0009877911,0.00001856526,0.006098414,0.961934,0.0006837363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03654223,0.002325346,0.00152552,0.003795151,0.002080534,0.005820358,0.00003012612,0.0009576206,0.9469231],"genre_scores_gemma":[0.94159,0.0005087639,0.0006362743,0.001260607,0.001660524,0.002382502,0.0003221816,0.0001866289,0.05145253],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9050478,"threshold_uncertainty_score":0.9996533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05671773780677838,"score_gpt":0.366595766433908,"score_spread":0.3098780286271297,"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."}}