{"id":"W2132193759","doi":"10.17271/19800827722011119","title":"MAPEAMENTO AMBIENTAL PARTICIPATIVO NO PLANEJAMENTO AMBIENTAL DA BACIA HIDROGRÁFICA DO CÓRREGO EMBIRÍ – UGRHI PONTAL DO PARANAPANEMA – SÃO PAULO","year":2011,"lang":"pt","type":"article","venue":"Periódico Eletrônico Fórum Ambiental da Alta Paulista.","topic":"Environmental Sustainability and Education","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Geography; Context (archaeology); Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.001740945,0.003066723,0.00220704,0.0005641435,0.002574554,0.001665581,0.003230111,0.001277032,0.06714879],"category_scores_gemma":[0.0002575476,0.003362377,0.001362644,0.001872418,0.003701845,0.00347788,0.003040673,0.002142456,0.02153793],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007454039,"about_ca_system_score_gemma":0.0002839646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008521297,"about_ca_topic_score_gemma":0.003398979,"domain_scores_codex":[0.9808256,0.001013922,0.003492654,0.005116465,0.00402866,0.005522698],"domain_scores_gemma":[0.9913003,0.0002417442,0.001607363,0.003472233,0.0001121946,0.003266125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006210576,0.03646706,0.7305434,0.001496344,0.001355911,0.002224604,0.0975793,0.0001757251,0.04593106,0.001075161,0.05595311,0.0209877],"study_design_scores_gemma":[0.01061474,0.008840472,0.6979438,0.0008576039,0.001386633,0.001118874,0.1656786,0.001386337,0.01370289,0.000825273,0.08873714,0.008907648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753889,0.001828909,0.00005565236,0.0006025438,0.004995249,0.00423038,0.001814641,0.0004637117,0.01062005],"genre_scores_gemma":[0.9842276,0.0004690286,0.0004551739,0.001597222,0.0006544347,0.0008302481,0.002229946,0.0004507037,0.009085663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06809928,"threshold_uncertainty_score":0.9993708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946282334521312,"score_gpt":0.2561729062902084,"score_spread":0.2267100829449953,"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."}}