{"id":"W4409421192","doi":"10.1016/j.ocecoaman.2025.107683","title":"Decision-making and ecosystem service dimensions of managed dyke realignment in the complex coastal landscapes of the Bay of Fundy","year":2025,"lang":"en","type":"article","venue":"Ocean & Coastal Management","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Congress of Aboriginal Peoples; Nova Scotia Department of Energy; Agriculture and Agri-Food Canada; CB Wetlands & Environmental Specialists; McGill University; Saint Mary's University; Nova Scotia Community College; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Canada First Research Excellence Fund; Ocean Frontier Institute","keywords":"Bay; Ecosystem services; Geology; Oceanography; Service (business); Environmental resource management; Geography; Ecosystem; Fishery; Environmental science; Ecology; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006777538,0.0001968753,0.00030258,0.0001222319,0.0001161928,0.00002199603,0.0006464333,0.00002841545,0.0001057906],"category_scores_gemma":[0.00001705494,0.0001167495,0.00009262854,0.000773013,0.00009768293,0.00007543003,0.007025888,0.00009159563,0.000003727487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004454166,"about_ca_system_score_gemma":0.000007026948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006256158,"about_ca_topic_score_gemma":0.03053688,"domain_scores_codex":[0.9981013,0.0001434904,0.0005854383,0.0003349112,0.0005872395,0.0002476482],"domain_scores_gemma":[0.9988679,0.0002050282,0.0002528027,0.0006261375,0.00001829566,0.00002980053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001125848,0.003310967,0.3660224,0.005648601,0.0009427604,0.0001230143,0.005625904,0.04589247,0.002250455,0.1260587,0.03247619,0.4105227],"study_design_scores_gemma":[0.00176239,0.0001772502,0.9353626,0.001134545,0.0002691509,0.000005349366,0.01321523,0.005543313,0.00017049,0.01153092,0.03051017,0.0003186144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8765414,0.00002786148,0.00117411,0.001195963,0.000148415,0.001378256,0.00008889449,0.00001634308,0.1194287],"genre_scores_gemma":[0.9985973,0.00005871559,0.0005430312,0.000262496,0.000004730808,0.00001273487,0.000007415137,0.000009357047,0.0005042167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5693402,"threshold_uncertainty_score":0.9871533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007582874288758587,"score_gpt":0.2223641921739103,"score_spread":0.2147813178851517,"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."}}