{"id":"W2018426120","doi":"10.5380/geografar.v2i1.7450","title":"FRAGILIDADE DE TRILHAS EM ÁREAS NATURAIS PROTEGIDAS: ESTUDO DE CASO RESERVA ECOLÓGICA ITAYTYBA - RPPN","year":2007,"lang":"pt","type":"article","venue":"Revista Geografar","topic":"Environmental Sustainability and Education","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Geography; Biology; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003873956,0.0002802543,0.0004588499,0.001358369,0.001718465,0.001262297,0.0005367821,0.0004336499,0.002819329],"category_scores_gemma":[0.0006325563,0.0003428622,0.0003671469,0.002333286,0.0009547285,0.0006096256,0.001197893,0.0003599651,0.0003876023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378827,"about_ca_system_score_gemma":0.00109294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05140995,"about_ca_topic_score_gemma":0.1274199,"domain_scores_codex":[0.9997239,0.00003439193,0.00001586364,0.00009272918,0.00006431302,0.00006881217],"domain_scores_gemma":[0.9994721,0.00009570538,0.0001767567,0.00003847285,0.0001079902,0.000108989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006757639,0.000344448,0.8760182,0.0003430577,0.00009106107,0.001034502,0.03759907,0.0003902992,0.05790836,0.0003511773,0.0001728411,0.02507109],"study_design_scores_gemma":[0.000003725802,0.0002238204,0.9828421,0.00001545033,0.00002569847,0.0001969631,0.01393592,0.000232708,0.001176518,0.00006192621,0.001273694,0.0000113274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990488,0.00007571279,0.0001163293,0.000006923768,0.000001002549,0.00001330164,0.00007677187,0.000002659245,0.0006585802],"genre_scores_gemma":[0.997718,0.0001200838,0.0005083987,0.00000898555,0.000001576994,0.00003431706,0.0001354902,0.000003525305,0.001469739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05140995,"threshold_uncertainty_score":0.1022214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970284262837091,"score_gpt":0.2699010812853468,"score_spread":0.2601982386569759,"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."}}