{"id":"W4389731763","doi":"10.54751/revistafoco.v16n12-085","title":"A PEJOTIZAÇÃO RURAL E O IMPACTO ECONÔMICO DO ITBI","year":2023,"lang":"pt","type":"article","venue":"Revista Foco","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Agricultural science; Political science; Philosophy; Environmental science","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":[0.001302448,0.0003080698,0.0004349739,0.001789905,0.001582876,0.004554066,0.0005119021,0.0005994267,0.0165037],"category_scores_gemma":[0.003380561,0.000194981,0.0002952663,0.005085245,0.002002473,0.001635505,0.0020382,0.0006864353,0.001007733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003062671,"about_ca_system_score_gemma":0.003010947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02897207,"about_ca_topic_score_gemma":0.05954055,"domain_scores_codex":[0.998514,0.0006211214,0.00004268479,0.0001623127,0.0004093586,0.0002504644],"domain_scores_gemma":[0.9976975,0.001037722,0.000487755,0.0001101527,0.0004741417,0.0001926897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004704937,0.0003237501,0.3893052,0.005239378,0.0003068667,0.002488904,0.03044259,0.004874205,0.006897009,0.1909496,0.02195261,0.3467494],"study_design_scores_gemma":[0.00002460211,0.0003397972,0.5203685,0.002784147,0.0002557538,0.001135372,0.08178446,0.002139736,0.002143315,0.02757047,0.3613793,0.00007457375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6890044,0.02612438,0.008318658,0.01468335,0.0002665861,0.0001333157,0.002588166,0.000110072,0.2587711],"genre_scores_gemma":[0.9636303,0.01430509,0.002102057,0.0005559431,0.00008025872,0.00006637799,0.0004845827,0.00003857332,0.01873684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02897207,"threshold_uncertainty_score":0.05760688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110903058269467,"score_gpt":0.2361849355090253,"score_spread":0.2250759049263307,"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."}}