{"id":"W4408822890","doi":"10.1080/20964471.2025.2480446","title":"Exploring the concept of digital twins of wetlands for supporting ecosystem monitoring and management","year":2025,"lang":"en","type":"article","venue":"Big Earth Data","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetland; Ecosystem; Environmental resource management; Ecosystem management; Environmental science; Ecosystem approach; Business; Computer science; Environmental planning; Ecology; Biology","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":[0.0002109416,0.00005633129,0.0001092109,0.00001782347,0.00006004906,0.00003091629,0.0003355993,0.00001102037,0.000008047883],"category_scores_gemma":[0.00001046646,0.0000367615,0.00001683311,0.000088744,0.00001072555,0.0003425812,0.0005844948,0.00001860887,0.000003037408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004617504,"about_ca_system_score_gemma":0.000002921247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005248977,"about_ca_topic_score_gemma":0.0002152781,"domain_scores_codex":[0.999399,0.000008389383,0.0002089762,0.0001667602,0.00009802906,0.0001188559],"domain_scores_gemma":[0.9994317,0.00005752713,0.00008690798,0.0004004667,0.00000402624,0.00001934806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003611998,0.00004981871,0.8576356,0.001091029,0.0001266081,0.000002917773,0.0007539533,0.0003159738,0.0005224898,0.0002437389,0.0003110323,0.1389107],"study_design_scores_gemma":[0.002363814,0.0001894049,0.7900459,0.001605765,0.0002685552,0.000006252697,0.006647674,0.01265543,0.0484666,0.0002263422,0.1370478,0.0004763828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977959,0.00005059368,0.0001680124,0.00005290148,0.0001959527,0.0002213422,0.0002728375,0.000008277445,0.001234157],"genre_scores_gemma":[0.9996523,0.00006330164,0.0001372562,0.000004201573,0.00003487288,0.00001422042,0.00003756621,0.00000343974,0.00005286557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1384344,"threshold_uncertainty_score":0.149909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08711809671200893,"score_gpt":0.2713054242976198,"score_spread":0.1841873275856109,"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."}}