{"id":"W3169797936","doi":"10.5418/ra2013.0912.0005","title":"GEOPROCESSAMENTO APLICADO À ANÁLISE DA FRAGILIDADE AMBIENTAL","year":2013,"lang":"gl","type":"article","venue":"Revista da ANPEGE","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Mathematics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002742365,0.0007694604,0.0006728034,0.00008750482,0.0008128351,0.0007997099,0.0009033738,0.0002571841,0.03172485],"category_scores_gemma":[0.0000298384,0.0007200975,0.0004159241,0.0006964201,0.001305702,0.000907221,0.001219963,0.0004907847,0.02239718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003750491,"about_ca_system_score_gemma":0.00001010993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003204974,"about_ca_topic_score_gemma":0.00002971388,"domain_scores_codex":[0.9954886,0.0001295169,0.0007590102,0.001333446,0.0009636855,0.001325716],"domain_scores_gemma":[0.9980489,0.00006124318,0.0003022357,0.0009533246,0.00001355952,0.0006207157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006283683,0.002010452,0.824585,0.0006692471,0.0003415385,0.00008850918,0.00210048,0.0001299436,0.01979051,0.000994772,0.06519574,0.08403093],"study_design_scores_gemma":[0.0008006084,0.0003063033,0.6861161,0.0002112714,0.0001660642,0.00003016627,0.001823496,0.0001914225,0.0006878101,0.0004367838,0.3080592,0.001170766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693519,0.01052172,0.00006862496,0.001106528,0.0002589302,0.001357138,0.0001869037,0.0001085833,0.01703964],"genre_scores_gemma":[0.9916562,0.002962212,0.0002877425,0.0009998729,0.0001772489,0.000212203,0.0000698997,0.00006679281,0.003567831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2428635,"threshold_uncertainty_score":0.999525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009814759335366,"score_gpt":0.2097742348588318,"score_spread":0.1996760872654781,"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."}}