{"id":"W4389454803","doi":"10.1016/j.heliyon.2023.e23363","title":"Networking and training for IMPROVEMENT of farm income: A case of lifelong learning (L3F) approach in West Africa","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"ICT Impact and Policies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Department for International Development, UK Government","keywords":"Mediation; Probit model; Lifelong learning; Agriculture; Commonwealth; Ordered probit; Probit; Business; Demographic economics; Economic growth; Economics; Socioeconomics; Geography; Psychology; Sociology; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001419232,0.000274897,0.000157024,0.0004485137,0.005150727,0.002476326,0.0007538214,0.001653067,0.002790117],"category_scores_gemma":[0.001359312,0.0001239432,0.0001999906,0.000558683,0.00186546,0.001459466,0.002299898,0.0009086542,0.0001883359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002714952,"about_ca_system_score_gemma":0.002615559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00850219,"about_ca_topic_score_gemma":0.01769337,"domain_scores_codex":[0.9985393,0.0008106001,0.00001914356,0.00005837974,0.00005467944,0.0005179414],"domain_scores_gemma":[0.9991946,0.0003126871,0.0001097375,0.00002676864,0.00004862556,0.0003076365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002954296,0.002384942,0.06345711,0.0007915577,0.00004869514,0.1107905,0.3825,0.00247585,0.004395427,0.213495,0.006473967,0.2128915],"study_design_scores_gemma":[0.00008980378,0.001086801,0.06289984,0.001439265,0.00006166187,0.01743195,0.7032927,0.006817801,0.002306517,0.02907295,0.1754304,0.00007029955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388374,0.0009567257,0.002705574,0.00539965,0.00006546612,0.0001495335,0.00001383024,0.00000813263,0.05186364],"genre_scores_gemma":[0.9908207,0.0006587607,0.0012543,0.0002905711,0.0000117368,0.00004627732,0.000003473176,0.000003136691,0.006911025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00850219,"threshold_uncertainty_score":0.01969838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03335290129256123,"score_gpt":0.2595723749886872,"score_spread":0.2262194736961259,"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."}}