{"id":"W2136979549","doi":"10.1007/s10113-015-0755-8","title":"Vulnerability to climate change in three hot spots in Africa and Asia: key issues for policy-relevant adaptation and resilience-building research","year":2015,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; International Development Research Centre","funders":"Department for International Development; International Development Research Centre","keywords":"Climate change; Vulnerability (computing); Environmental resource management; Psychological resilience; Geography; Climate change adaptation; Environmental planning; Political science; Environmental science; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01463468,0.001149266,0.002321107,0.003604071,0.004689815,0.01407468,0.002398956,0.006269683,0.003696869],"category_scores_gemma":[0.0208765,0.000476976,0.001292159,0.005806161,0.007263022,0.0146776,0.006067969,0.00995053,0.0004468258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006552723,"about_ca_system_score_gemma":0.009152682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058553,"about_ca_topic_score_gemma":0.006757162,"domain_scores_codex":[0.9966449,0.001476683,0.0004417151,0.000397927,0.0005549632,0.000483861],"domain_scores_gemma":[0.9742749,0.02019097,0.001632581,0.0004286253,0.002305083,0.001167794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002671817,0.0001279356,0.009652779,0.01384376,0.0004647642,0.003563493,0.07241589,0.001972991,0.001750287,0.3011539,0.2716714,0.3231156],"study_design_scores_gemma":[0.00002462013,0.0001257275,0.01768689,0.01258313,0.0002250084,0.001301695,0.1090116,0.0006357079,0.0009654569,0.23958,0.6176059,0.0002542021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01252964,0.5185571,0.00354954,0.3927536,0.05338155,0.0001019697,0.0001747045,0.00004849018,0.0189034],"genre_scores_gemma":[0.1484638,0.7378747,0.007662912,0.03511456,0.06138495,0.0002877846,0.0002763128,0.0001508522,0.008784031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01463468,"threshold_uncertainty_score":0.07739651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4194554259588291,"score_gpt":0.4168795701597167,"score_spread":0.002575855799112459,"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."}}