{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.001970291,0.002262055,0.001906573,0.0004130914,0.002790501,0.00117025,0.002352584,0.0008976679,0.01049334],"category_scores_gemma":[0.0002541643,0.002299682,0.001329939,0.001682917,0.003081348,0.001281761,0.002500728,0.001627718,0.005296124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372074,"about_ca_system_score_gemma":0.00007058101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00616259,"about_ca_topic_score_gemma":0.00299682,"domain_scores_codex":[0.9871085,0.001037109,0.002058909,0.003327136,0.002586617,0.003881776],"domain_scores_gemma":[0.9943451,0.0003057139,0.0009884665,0.002274049,0.00004386966,0.002042842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006684106,0.003560063,0.8966758,0.0004034468,0.0006115027,0.0004806982,0.009711598,0.0004194751,0.01369268,0.0001993432,0.04832975,0.02524721],"study_design_scores_gemma":[0.005538544,0.001500741,0.7228608,0.0003307406,0.0006020917,0.0002550378,0.007772569,0.002986865,0.001452217,0.0001924484,0.2530168,0.003491107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815385,0.004205129,0.0004588618,0.0009851947,0.002102883,0.001789796,0.001458256,0.0004577954,0.007003618],"genre_scores_gemma":[0.9894366,0.001147708,0.0008754886,0.001912695,0.0004575578,0.0002544856,0.0008077545,0.000311368,0.004796378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.204687,"threshold_uncertainty_score":0.9998666,"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."}}