{"id":"W2461348914","doi":"10.1002/ecs2.1363","title":"A complex systems approach for multiobjective water quality regulation on managed wetland landscapes","year":2016,"lang":"en","type":"article","venue":"Ecosphere","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Environmental resource management; Wetland; Ecosystem services; Adaptive management; Landscape ecology; Ecological systems theory; Conceptual framework; Ecosystem; Ecosystem management; Sustainable management; Environmental planning; Ecology; Environmental science; Computer science; Business; Habitat; Sustainability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002968874,0.0008792677,0.0007613773,0.001553572,0.001207023,0.00282171,0.001683678,0.001397463,0.004900306],"category_scores_gemma":[0.004468409,0.0004088518,0.001220635,0.0008356308,0.002736332,0.001888172,0.002989997,0.002107327,0.000221306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004425951,"about_ca_system_score_gemma":0.001954864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160028,"about_ca_topic_score_gemma":0.01555674,"domain_scores_codex":[0.9984983,0.0009343172,0.00004330531,0.0002035363,0.0001993325,0.0001211701],"domain_scores_gemma":[0.9978558,0.001310598,0.0002573046,0.00009607529,0.0003147563,0.0001654658],"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":[0.00001519565,0.00005947607,0.001119897,0.00004662226,0.00005308913,0.0001885497,0.0002515521,0.7098871,0.0004401109,0.2795665,0.0007849438,0.007586982],"study_design_scores_gemma":[0.00001161498,0.00003011101,0.0003131728,0.00001626427,0.00001239139,0.00001409942,0.0001326309,0.888553,0.00005883985,0.1090609,0.001786739,0.00001026055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02913621,0.0002663906,0.9456648,0.00168392,0.00006780762,0.0001294949,0.00008112677,0.00007431475,0.02289594],"genre_scores_gemma":[0.8631833,0.0004254084,0.1295192,0.0002353944,0.0001348577,0.0005626592,0.0000631505,0.0000653302,0.005810655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01160028,"threshold_uncertainty_score":0.03211272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307942894717824,"score_gpt":0.2373675973997485,"score_spread":0.2142881684525703,"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."}}