{"id":"W6925875434","doi":"10.20372/aau_rdr/oz73mz","title":"CONTRIBUTIONS OF AGRICULTURAL COOPERATIVES TO IMPROVE THE LIVELIHOOD OF RURAL HOUSEHOLDS: THE CASE OF HULET EJU ENESE WOREDA, EAST GOJJAM ZONE AMHARA NATIONAL REGIONAL STATE, ETHIOPIA","year":2023,"lang":"en","type":"dataset","venue":"National Academic Digital Repository of Ethiopia","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Association Of Atlantic Universities","funders":"","keywords":"Livelihood; Agriculture; Rural development; Rural area; Agricultural productivity","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002137897,0.0009081676,0.001384685,0.0006163318,0.0004944374,0.0001246548,0.002145011,0.001257476,0.00001449468],"category_scores_gemma":[0.008528509,0.0005933236,0.0006741987,0.002342551,0.002655912,0.001034555,0.0008302392,0.00302843,0.0001441426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007117375,"about_ca_system_score_gemma":0.00310116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009122703,"about_ca_topic_score_gemma":0.0001794914,"domain_scores_codex":[0.9900326,0.0006614199,0.003277026,0.0007947409,0.004577571,0.0006566826],"domain_scores_gemma":[0.9782395,0.004905608,0.003837806,0.0006961402,0.01204033,0.0002806471],"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":[0.0005781025,0.0005739193,0.00007991175,0.0003798373,0.001448716,0.00003306141,0.001512159,0.002239797,0.05004807,0.005899091,0.9371142,0.00009315229],"study_design_scores_gemma":[0.02576823,0.008081136,0.2091485,0.02289184,0.00506436,0.01666133,0.04494158,0.0006743852,0.1430415,0.01868718,0.492479,0.01256088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1354547,0.0006165052,0.00001049128,0.001060404,0.0006054055,0.001594348,0.8603187,0.00006616602,0.0002732789],"genre_scores_gemma":[0.5565717,0.0001522584,0.00004713954,0.0002183642,0.0008553029,0.0003813337,0.4398652,0.0001182553,0.001790448],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4446352,"threshold_uncertainty_score":0.9998231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506223070967373,"score_gpt":0.3035939669020236,"score_spread":0.2785317361923499,"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."}}