{"id":"W67297407","doi":"10.33026/peg.v14i1.1791","title":"O ESPAÇO GEOGRÁFICO DAS FECULARIAS NO MATO GROSSO DO SUL","year":2013,"lang":"pt","type":"article","venue":"PEGADA - A Revista da Geografia do Trabalho","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Geography; Art","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008204309,0.001631324,0.001354246,0.000174289,0.001115618,0.005049313,0.002048508,0.0007147148,0.05196542],"category_scores_gemma":[0.0001999578,0.001228127,0.0007855558,0.001978322,0.0006621362,0.001668904,0.001118031,0.001195614,0.05235348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004985749,"about_ca_system_score_gemma":0.00009893454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316232,"about_ca_topic_score_gemma":0.0000845397,"domain_scores_codex":[0.9914269,0.0003878482,0.001576128,0.002215065,0.002034725,0.002359353],"domain_scores_gemma":[0.9962387,0.0001545698,0.0006824185,0.001515541,0.0002154372,0.001193312],"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":[0.0001520778,0.001778278,0.2035482,0.0009150304,0.0007527032,0.0005128762,0.00251846,0.0001518685,0.01453326,0.002955791,0.7294204,0.04276112],"study_design_scores_gemma":[0.001301437,0.0002248487,0.4484689,0.0005567162,0.0002587483,0.0001287816,0.000760468,0.0002604605,0.0001760436,0.0002498202,0.545425,0.002188837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537091,0.008835284,0.0001335845,0.005120727,0.00188585,0.004306468,0.0004262011,0.0004807516,0.025102],"genre_scores_gemma":[0.9386003,0.001696117,0.00125666,0.001002866,0.0006413044,0.0003416661,0.0006213524,0.0001620017,0.05567771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2449207,"threshold_uncertainty_score":0.9996434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006572782398206639,"score_gpt":0.2165369578035556,"score_spread":0.209964175405349,"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."}}