{"id":"W2893895203","doi":"10.3390/w10101350","title":"Paleoenvironmental Reconstructions Improve Ecosystem Services Risk Assessment: Case Studies from Two Coastal Lagoons in South America","year":2018,"lang":"en","type":"article","venue":"Water","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Ministry of the Environment, Conservation and Parks; University of Regina","funders":"Inter-American Institute for Global Change Research","keywords":"Ecosystem services; Ecosystem; Context (archaeology); Environmental resource management; Tributary; Ecosystem management; Risk assessment; Environmental science; Geography; Ecology; Biology","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":[0.002200563,0.0004469894,0.0002249455,0.001410008,0.0009968916,0.001011154,0.0007238939,0.0005342779,0.0008252044],"category_scores_gemma":[0.004964032,0.0001594295,0.0003555244,0.002917485,0.0009479423,0.000818077,0.0016022,0.0005168124,0.00004996191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002872156,"about_ca_system_score_gemma":0.001686604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2022649,"about_ca_topic_score_gemma":0.4174769,"domain_scores_codex":[0.9993513,0.0003988855,0.00004309179,0.00005117775,0.00006402957,0.00009148758],"domain_scores_gemma":[0.9975511,0.001290238,0.0003467395,0.0002271922,0.0003863951,0.0001983507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004394512,0.0005344274,0.9223711,0.0001855148,0.0001859683,0.007337422,0.01334832,0.01911885,0.002685907,0.001058164,0.0006955286,0.03203931],"study_design_scores_gemma":[0.00009037176,0.0003584722,0.8989815,0.0001951354,0.0002371239,0.001323856,0.0577627,0.03211662,0.002417526,0.001587039,0.004843114,0.0000867717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991596,0.00005084945,0.0002599685,0.0001054315,0.000001070445,0.00002064686,0.00007841003,0.000003936473,0.0003202128],"genre_scores_gemma":[0.9981273,0.0001250977,0.00143822,0.00002356495,0.00000182656,0.0000137207,0.0001150754,0.00000458493,0.0001507502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2022649,"threshold_uncertainty_score":0.4021752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00623496133584842,"score_gpt":0.2341279785316354,"score_spread":0.2278930171957869,"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."}}