{"id":"W4391844779","doi":"10.55905/oelv22n2-080","title":"Impact of the agri-amigo program on the income level of rural workers in the agricultural region of sobral in the state of Ceará","year":2024,"lang":"en","type":"article","venue":"OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Agriculture; State (computer science); Agricultural economics; Geography; Forestry; Agricultural science; Economics; Archaeology; Environmental science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006336293,0.0001907404,0.0002786105,0.00003036519,0.00004980586,0.00003309832,0.0008529199,0.00005609824,0.00006032979],"category_scores_gemma":[0.00004373928,0.00006538768,0.0002242458,0.001129977,0.0005076665,0.0001637432,0.0001241513,0.0003349363,0.000004027348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487446,"about_ca_system_score_gemma":0.00005469107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009952577,"about_ca_topic_score_gemma":0.002070573,"domain_scores_codex":[0.9983974,0.0003867552,0.0004896467,0.0001588225,0.0002905506,0.0002768668],"domain_scores_gemma":[0.9988173,0.0005046438,0.0003315151,0.0003088758,0.00001173549,0.00002593544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000292941,0.0001492673,0.9700357,0.00002732862,0.00004624669,0.000003552447,0.009331944,0.003895763,0.002083875,0.0002350286,0.002309651,0.01185235],"study_design_scores_gemma":[0.0001332432,0.000141811,0.9935737,0.0001481295,0.00001164063,0.000007625104,0.004772526,0.0002711218,0.0002915131,0.0003730989,0.00017415,0.0001014845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945245,0.00004443524,8.999332e-7,0.001570037,0.00003679801,0.0005987099,0.00002553456,0.000007583394,0.00319152],"genre_scores_gemma":[0.999458,0.00003817344,0.0000969274,0.0001072872,0.00001444955,0.00004207293,0.000006781821,0.000007260294,0.0002290112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02353796,"threshold_uncertainty_score":0.9966402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612573150010785,"score_gpt":0.252816552337046,"score_spread":0.2266908208369382,"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."}}