{"id":"W4416297481","doi":"10.5194/ica-proc-7-19-2025","title":"Land use change analysis of the flooded area in the Guaiba Hydrographic Region in southern Brazil 2024","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ICA","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Environment and Climate Change Canada; Universidade Federal do Rio Grande do Sul; Ministério da Ciência, Tecnologia e Inovação","keywords":"Land use; Flood myth; Hydrography; Vegetation (pathology); Land use, land-use change and forestry; Climate change; Land cover; Wetland","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000238939,0.00008912128,0.0001663365,0.00004567127,0.00007291732,0.00001122393,0.000518284,0.00004727184,0.00003571232],"category_scores_gemma":[0.00005724331,0.00003538905,0.0001378681,0.001499812,0.0003725775,0.00005842104,0.0004707919,0.0001232925,0.000002232096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003027529,"about_ca_system_score_gemma":7.951885e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150971,"about_ca_topic_score_gemma":0.001820948,"domain_scores_codex":[0.9993045,0.00001829852,0.0001770264,0.0001720631,0.0001922684,0.0001358611],"domain_scores_gemma":[0.9997219,0.00005345701,0.0001027074,0.000109457,0.000003095555,0.000009327425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000157019,0.00009086393,0.9952582,0.000006931398,0.00003810459,1.340936e-7,0.001058239,0.00001860513,0.002817809,0.00002972235,0.0001808954,0.0004848622],"study_design_scores_gemma":[0.0001088133,0.00001919028,0.9967856,0.00003989758,0.00009945104,2.909449e-7,0.0007962247,0.0001489179,0.0006085727,0.0008264448,0.000519292,0.00004729394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993414,0.000103375,1.640464e-7,0.003369233,0.00001971263,0.0002391089,0.000005925605,0.000003436841,0.002845077],"genre_scores_gemma":[0.9988918,0.0001329753,0.000008198781,0.0004835687,0.000005269588,0.00003034247,3.988884e-7,0.000001973343,0.0004454508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005477855,"threshold_uncertainty_score":0.2282241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537046996677536,"score_gpt":0.2191269723389868,"score_spread":0.1937565023722114,"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."}}