{"id":"W4361002725","doi":"10.5194/hess-2023-68","title":"On the optimal level of complexity for the representation of wetland systems in land surface models","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Global Water Futures","keywords":"Wetland; Land cover; Earth system science; Representation (politics); Environmental science; Boundary (topology); Ecosystem; Groundwater; Hydrology (agriculture); Land use; Ecology; Geology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002391932,0.0008476696,0.0008540273,0.0005900835,0.0005442848,0.001543817,0.0008528803,0.001355532,0.001333877],"category_scores_gemma":[0.01763036,0.0005470847,0.0007673666,0.0003497712,0.001514796,0.002271771,0.001905381,0.002119194,0.0001581015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084918,"about_ca_system_score_gemma":0.0008452683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005083523,"about_ca_topic_score_gemma":0.005813099,"domain_scores_codex":[0.9992042,0.0005364647,0.00004169662,0.00007523767,0.00007069219,0.00007179721],"domain_scores_gemma":[0.9883913,0.0100585,0.0005668207,0.0004555909,0.0002850539,0.0002427657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008066933,0.00005623683,0.001699431,0.00004294362,0.00002190996,0.00003381824,0.00004761579,0.983888,0.0006943948,0.01003655,0.0002364464,0.003162037],"study_design_scores_gemma":[0.00001162519,0.00001861948,0.0001396556,0.000008830763,0.000004656891,0.000003727649,0.0000115723,0.9949356,0.0001402478,0.004643722,0.00007794047,0.000003763412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5921469,0.0005540117,0.3943502,0.003181388,0.00007705086,0.0002369729,0.0005555688,0.0003690969,0.008528785],"genre_scores_gemma":[0.9396085,0.0001484972,0.05930021,0.0001613436,0.00002828322,0.0001158479,0.0001516786,0.00005690508,0.0004286475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005083523,"threshold_uncertainty_score":0.01264989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2855892916630201,"score_gpt":0.3248902394842093,"score_spread":0.03930094782118915,"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."}}