{"id":"W2240677505","doi":"10.22456/2176-5456.10231","title":"CONTRIBUIÇÃO AO ESTUDO DA PEQUENA PRODUÇÃO NA CAFEICULTURA BRASILEIRA - O Caso do Espírito Santo","year":2009,"lang":"pt","type":"article","venue":"Análise Econômica","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Geology","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":[0.003149668,0.0005418027,0.0005688398,0.004772216,0.001893168,0.002753653,0.0006143168,0.0005278438,0.004566044],"category_scores_gemma":[0.004758762,0.000283849,0.0005592337,0.005824978,0.001902302,0.0007682468,0.0007307432,0.0004608655,0.0005126523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476466,"about_ca_system_score_gemma":0.002978272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1599058,"about_ca_topic_score_gemma":0.3875454,"domain_scores_codex":[0.9983699,0.0003502407,0.000115594,0.0003641371,0.0006245878,0.0001755919],"domain_scores_gemma":[0.9956567,0.00163128,0.0004941695,0.0006084223,0.00141538,0.0001941023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002846532,0.0001287891,0.7499653,0.002222213,0.0001984128,0.00111931,0.01453531,0.0003590911,0.04063339,0.003143532,0.001096639,0.1863133],"study_design_scores_gemma":[0.000006571456,0.0002369291,0.9527013,0.0003731286,0.0002191728,0.000723288,0.01401316,0.0004000769,0.005283018,0.0008513205,0.02515803,0.00003405108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385291,0.007817394,0.001612587,0.0009367458,0.00006334412,0.000159415,0.001793254,0.00005129871,0.04903685],"genre_scores_gemma":[0.9899263,0.002820726,0.003469375,0.00007611266,0.00002205056,0.00002654692,0.0002990065,0.00001262306,0.003347249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1599058,"threshold_uncertainty_score":0.3179501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871413730703831,"score_gpt":0.2515607424923784,"score_spread":0.2228466051853401,"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."}}