{"id":"W3139019132","doi":"10.46830/wriwp.20.00065","title":"Public International Funding of Nature-based Solutions for Adaptation: A Landscape Assessment","year":2021,"lang":"en","type":"article","venue":"","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direktoratet for Utviklingssamarbeid; Government of Canada","keywords":"Adaptation (eye); Commission; Climate Finance; Resilience (materials science); Developing country; Political science; Business; Environmental resource management; Public administration; Finance; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006840724,0.00005761768,0.00008585458,0.000117511,0.0003841109,0.0001190286,0.0001186956,0.00009431156,0.001169919],"category_scores_gemma":[0.0006086329,0.00006181401,0.00007661097,0.0003393876,0.00005151395,0.0003106109,0.00002049363,0.00006861416,0.000002591086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187763,"about_ca_system_score_gemma":0.000868158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00014624,"about_ca_topic_score_gemma":0.02485612,"domain_scores_codex":[0.9989717,0.0000798418,0.0001998386,0.0001586862,0.0003846555,0.0002052585],"domain_scores_gemma":[0.9984543,0.0003435789,0.0001175256,0.00009034129,0.0009381027,0.00005610846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001021937,0.0001762556,0.004647711,0.00002030009,0.00004393512,7.302082e-7,0.005747829,0.0005012843,0.001250545,0.9793921,0.005213927,0.002995153],"study_design_scores_gemma":[0.003111277,0.0001262632,0.02617211,0.00009983573,0.0001005537,0.00000214111,0.21206,0.3469296,0.001680351,0.01719648,0.3919326,0.0005888369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03981335,0.0003519313,0.6690294,0.1016092,0.002859548,0.0008618985,0.0002656493,0.0002273335,0.1849817],"genre_scores_gemma":[0.9781301,0.00003724077,0.01935543,0.0003341228,0.0002398682,0.00007146852,0.0004873739,0.000006869387,0.001337538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9621956,"threshold_uncertainty_score":0.9997432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2940119579428515,"score_gpt":0.3957298741273652,"score_spread":0.1017179161845136,"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."}}