{"id":"W3098849471","doi":"10.5539/jas.v12n12p201","title":"Determinants of Youth Farmers’ Participation in Agricultural Activities in Akwa Ibom State, Nigeria","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panacea (medicine); Agriculture; Livelihood; Business; Government (linguistics); Economic growth; Diversification (marketing strategy); Descriptive statistics; Agricultural extension; Socioeconomics; Agricultural economics; Marketing; Geography; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003871911,0.0001454673,0.0003446328,0.00003532214,0.0001110735,0.00007427376,0.0004291288,0.00005768445,0.00002514142],"category_scores_gemma":[0.00006551111,0.00002593498,0.0001047356,0.001266233,0.0001906632,0.001030991,0.00006758769,0.0001924923,0.000002016673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007032444,"about_ca_system_score_gemma":0.00003312143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000258282,"about_ca_topic_score_gemma":0.001381439,"domain_scores_codex":[0.9982405,0.00005364951,0.0006305875,0.0001930301,0.0005201113,0.0003621189],"domain_scores_gemma":[0.9990991,0.00005059893,0.0004805408,0.00002459211,0.000157638,0.0001874707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007563144,0.0001641211,0.3567607,0.0000130888,0.00000486625,0.00001568936,0.007152127,0.0003184367,0.6242975,0.000005728272,0.00003194342,0.01116017],"study_design_scores_gemma":[0.000247663,0.0004398231,0.9641135,0.00007271704,0.000003938007,0.00001661459,0.008628611,0.00001500934,0.0262531,0.00002712013,0.00004934935,0.0001325296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987366,0.00003873462,2.434321e-7,0.0008038453,0.0001738022,0.0001221454,0.00001347775,0.000006132429,0.000105041],"genre_scores_gemma":[0.9996366,0.00007339863,0.00003190779,0.00004809929,0.0001507655,0.000001306908,0.000002550916,4.567481e-7,0.00005494347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6073528,"threshold_uncertainty_score":0.1140748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497536971536236,"score_gpt":0.247241111981143,"score_spread":0.2222657422657807,"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."}}