{"id":"W3153011073","doi":"10.38116/brua23art2","title":"O Programa Nacional de Fortalecimento da Agricultura Familiar (PRONAF) no Matopiba","year":2021,"lang":"pt","type":"article","venue":"","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Geography; Forestry; Philosophy","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":[0.001164268,0.0002742315,0.0002381283,0.001355611,0.0009403846,0.0005658058,0.0006913761,0.0001909941,0.004375065],"category_scores_gemma":[0.002238798,0.0002230892,0.0001893715,0.001919026,0.0004272997,0.0003446494,0.001263621,0.0004439987,0.0004813303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002698238,"about_ca_system_score_gemma":0.008984261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2285875,"about_ca_topic_score_gemma":0.4761629,"domain_scores_codex":[0.9995803,0.00009304786,0.00001681834,0.00007354727,0.0001058838,0.000130368],"domain_scores_gemma":[0.9980201,0.0002634683,0.0005262634,0.0001721584,0.0005313225,0.0004868221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004492431,0.0001589926,0.7617753,0.0008673558,0.00007310691,0.0004840267,0.007766113,0.0006997235,0.006853806,0.001497494,0.007021162,0.2123537],"study_design_scores_gemma":[0.000009212603,0.0001758322,0.9780881,0.00009320421,0.00001717019,0.00009427041,0.001627854,0.0002035292,0.0003857181,0.00007788469,0.01921668,0.00001053302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572331,0.001896767,0.00366006,0.0009952005,0.0001138257,0.0005688104,0.01102694,0.0003514869,0.02415388],"genre_scores_gemma":[0.9583865,0.001831125,0.01566321,0.0001244799,0.00004062636,0.0006830137,0.005039271,0.00004166645,0.01818998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2285875,"threshold_uncertainty_score":0.454514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008500774947356432,"score_gpt":0.2122865959235739,"score_spread":0.2037858209762174,"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."}}