{"id":"W1994447432","doi":"10.17271/198008271022014896","title":"AVALIAÇÃO DAS MUDANÇAS NA PAISAGEM DA BACIA HIDROGRÁFICA DO LAJEADINHO EM CAMPO GRANDE-MS, POR MEIO DE ANÁLISE MULTITEMPORAL","year":2014,"lang":"pt","type":"article","venue":"Periódico Eletrônico Fórum Ambiental da Alta Paulista.","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Watershed; Geography; Geoprocessing; Thematic map; Forestry; Humanities; Cartography; Art; Computer 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":[0.0004243687,0.0002224755,0.0003048881,0.002915929,0.0006930646,0.002153213,0.000418417,0.0004177289,0.002107276],"category_scores_gemma":[0.001135039,0.0001969205,0.0003716837,0.004952778,0.0005706101,0.0009676768,0.0007589336,0.0003134574,0.0002195588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176368,"about_ca_system_score_gemma":0.00109534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1018964,"about_ca_topic_score_gemma":0.218287,"domain_scores_codex":[0.9996769,0.00002915658,0.00001784857,0.00009265421,0.0001348459,0.00004846728],"domain_scores_gemma":[0.999333,0.0001554154,0.0001453929,0.00005323607,0.0002654698,0.00004763594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002037976,0.00005150653,0.8290595,0.0005484738,0.000195567,0.001054521,0.01372024,0.007427091,0.03839788,0.005031368,0.001323451,0.1029866],"study_design_scores_gemma":[0.000003028207,0.00003779432,0.9547938,0.00008022069,0.00006856766,0.000233795,0.01690647,0.008185746,0.003285297,0.001147111,0.01522869,0.00002945522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807832,0.0004684363,0.00447647,0.0001948166,0.0000117232,0.00005107019,0.001380811,0.00009859607,0.01253495],"genre_scores_gemma":[0.9937843,0.0002449767,0.003459336,0.00001562937,0.000004004404,0.00002748476,0.0003377521,0.00001783662,0.002108634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018964,"threshold_uncertainty_score":0.2026067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316863253882558,"score_gpt":0.2444894122942443,"score_spread":0.2313207797554187,"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."}}