{"id":"W2941152780","doi":"10.5751/es-10854-240204","title":"The promises and pitfalls of ecosystem-based adaptation to climate change as a vehicle for social empowerment","year":2019,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; Svenska Forskningsrådet Formas","keywords":"Empowerment; Adaptation (eye); Climate change; Climate change adaptation; Ecosystem; Environmental resource management; Ecosystem services; Geography; Ecology; Environmental planning; Political science; Environmental science; Psychology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003803557,0.00005590518,0.00009659617,0.000002519398,0.0002664768,0.00001000089,0.00005345298,0.00006465776,0.00006552743],"category_scores_gemma":[0.00002384879,0.00004324991,0.00004111463,0.00003743217,0.00009962937,0.00005711288,0.00006603293,0.00003217651,0.00001142117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000753046,"about_ca_system_score_gemma":0.000009817242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003292911,"about_ca_topic_score_gemma":0.0003647901,"domain_scores_codex":[0.9994771,0.00003235231,0.00009600892,0.0001541075,0.00006408714,0.0001763575],"domain_scores_gemma":[0.999682,0.0001516545,0.00006713905,0.00006073013,0.00001096323,0.00002747739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001018985,0.0004947807,0.6708122,0.001237097,0.00009066922,0.00000147687,0.2970175,0.000248616,0.005911174,0.007055239,0.003787771,0.01232443],"study_design_scores_gemma":[0.00126924,0.0007386761,0.9466503,0.00001425852,0.00002047469,8.244829e-7,0.03684514,0.004470692,0.0004370419,0.001139033,0.008266251,0.0001480597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964159,0.00003611194,0.000006225207,0.002391041,0.00006955311,0.0008514692,0.00002636739,0.000006681038,0.0001966898],"genre_scores_gemma":[0.9987727,0.00007888287,0.00009831853,0.0007310144,0.00001953233,0.0002054481,0.000002053911,0.000003936537,0.00008814681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.275838,"threshold_uncertainty_score":0.2049551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669854846621499,"score_gpt":0.2550311942820054,"score_spread":0.2383326458157904,"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."}}