{"id":"W2518743640","doi":"10.5751/es-08680-210332","title":"Understanding stakeholder preferences for flood adaptation alternatives with natural capital implications","year":2016,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Experimental Program to Stimulate Competitive Research; Plymouth State University; Dartmouth College; National Science Foundation","keywords":"Flood myth; Natural capital; Adaptation (eye); Stakeholder; Natural (archaeology); Environmental resource management; Capital (architecture); Ecology; Geography; Environmental planning; Economics; Psychology; Management; Biology; Ecosystem; Ecosystem services","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008277702,0.0004854493,0.0004426938,0.001200313,0.001083007,0.004632241,0.0005862195,0.001841267,0.01145377],"category_scores_gemma":[0.0324471,0.000329337,0.0006988868,0.001054889,0.001959171,0.005737282,0.002394387,0.002077343,0.0004613344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002333029,"about_ca_system_score_gemma":0.001099897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003279328,"about_ca_topic_score_gemma":0.009213413,"domain_scores_codex":[0.995411,0.003011297,0.0001718191,0.0002120283,0.0007486957,0.000445181],"domain_scores_gemma":[0.9729059,0.02150654,0.002700352,0.0005766943,0.001403637,0.0009068638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003989243,0.002772965,0.2472359,0.001837701,0.0007724464,0.002130164,0.04171997,0.05525719,0.01015305,0.3161318,0.02013573,0.2978639],"study_design_scores_gemma":[0.0003315713,0.001447102,0.1461183,0.0009533642,0.0004218055,0.0007637012,0.1098288,0.09294374,0.003103037,0.6060262,0.0377577,0.0003046473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074888,0.001002995,0.01292512,0.008778364,0.00004024764,0.0001313245,0.0002691342,0.00001191697,0.06935205],"genre_scores_gemma":[0.996866,0.000240541,0.00219443,0.0002135254,0.000009178282,0.00004238365,0.0000668143,0.000003113268,0.0003639347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01145377,"threshold_uncertainty_score":0.04377717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07974222579205817,"score_gpt":0.2624000658994095,"score_spread":0.1826578401073513,"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."}}