{"id":"W4411363698","doi":"10.52493/j.jaab.2024.1.97","title":"Postharvest advisory competency and training needs of N-Power Agro Advisors in Benin metropolis, Edo State, Nigeria","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Allied Biotechnology (JAAB)","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"State (computer science); Training (meteorology); Postharvest; Benin city; Power (physics); Business; Geography; Computer science; Horticulture; Medicine; Biology; Teaching hospital","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007716686,0.0001698078,0.0001511354,0.0003891011,0.001505632,0.0008436728,0.000355604,0.0004810164,0.004518552],"category_scores_gemma":[0.001780965,0.0001863952,0.00007022045,0.0003615092,0.0004880039,0.0005683654,0.0007448451,0.0005851728,0.0003862655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000775568,"about_ca_system_score_gemma":0.002282594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316881,"about_ca_topic_score_gemma":0.03788273,"domain_scores_codex":[0.9995416,0.0001289742,0.00002736553,0.00003464877,0.00006715738,0.0002001482],"domain_scores_gemma":[0.9979639,0.0003098012,0.0004110059,0.00002977726,0.0002424544,0.001043089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001539761,0.0008175756,0.8330551,0.0004640708,0.00001246719,0.003481036,0.08517902,0.0001554066,0.003058661,0.0007347462,0.003827825,0.06906002],"study_design_scores_gemma":[0.000009803006,0.0004981667,0.638607,0.0003415904,0.00000876034,0.001135891,0.341406,0.0002613648,0.0004129273,0.0001597514,0.01713059,0.0000281435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979673,0.0001877579,0.00002650043,0.0003418984,0.000009908513,0.00001627326,0.00002029966,0.000001581372,0.001428583],"genre_scores_gemma":[0.9968953,0.0005926306,0.0001521093,0.0001952135,0.000006319689,0.00001934878,0.00002863549,0.00000102519,0.002109395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01316881,"threshold_uncertainty_score":0.02618432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008553851249616471,"score_gpt":0.2101900040025639,"score_spread":0.2016361527529474,"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."}}