{"id":"W7002075955","doi":"","title":"Mapeamento das Ã¡reas suscetÃveis a escorregamentos em Blumenau - SC, utilizando Sistema de InformaÃ§Ãµes GeogrÃ¡ficas","year":2007,"lang":"en","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Damages; Vegetation (pathology); Natural disaster; Quarter (Canadian coin); Land cover; Land use; Vegetation cover","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003261732,0.0005508398,0.0004403298,0.002332807,0.001453435,0.00138603,0.001146905,0.0002809796,0.0009608805],"category_scores_gemma":[0.0008960029,0.000515207,0.0004209321,0.005874138,0.001702345,0.002997109,0.001445224,0.0005276463,0.0009211293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275187,"about_ca_system_score_gemma":0.0001158883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002992323,"about_ca_topic_score_gemma":0.0008269369,"domain_scores_codex":[0.9927469,0.00006926514,0.0007850782,0.001035426,0.003424962,0.001938293],"domain_scores_gemma":[0.997861,0.0004347566,0.0002462243,0.0005778206,0.0001735436,0.0007065991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006355511,0.009063616,0.2577927,0.0009779569,0.002002151,0.0004653763,0.01136122,0.01328488,0.01913428,0.1435863,0.3964617,0.1395143],"study_design_scores_gemma":[0.002389423,0.0006221273,0.0825986,0.0001779529,0.000045541,0.00009723017,0.004202698,0.0005762493,0.002713964,0.00441199,0.9011577,0.001006474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8273485,0.0007064951,0.00511421,0.002090445,0.0009123966,0.003187845,0.001289804,0.000298025,0.1590523],"genre_scores_gemma":[0.9943026,0.0003217875,0.0009696814,0.0002041543,0.0001932602,0.0002377179,0.000355691,0.00006080011,0.003354355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5046961,"threshold_uncertainty_score":0.9999524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318468883573633,"score_gpt":0.3456030345694557,"score_spread":0.2924183457337194,"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."}}