{"id":"W6901762583","doi":"10.60692/4pas7-pmy32","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":"Greater South Information System","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Climate change; Vulnerability (computing); Adaptation (eye); Climate change adaptation; Social vulnerability; Global warming; Political economy of climate change","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01275386,0.0008935844,0.001877032,0.004993591,0.004534976,0.01667887,0.001887315,0.005278311,0.005083118],"category_scores_gemma":[0.02284337,0.0005281775,0.0008564791,0.008914218,0.005933836,0.01712884,0.005521394,0.007645121,0.0005001752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007436488,"about_ca_system_score_gemma":0.01075743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004691413,"about_ca_topic_score_gemma":0.01058574,"domain_scores_codex":[0.9970282,0.001126319,0.0004847618,0.0003440711,0.0006203681,0.0003962703],"domain_scores_gemma":[0.9635194,0.03006112,0.002014194,0.0005426217,0.002551655,0.001311002],"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":[0.0002138658,0.00009848757,0.01180929,0.01309093,0.0003013531,0.002756462,0.07117537,0.001700107,0.001654659,0.2163356,0.3367011,0.3441627],"study_design_scores_gemma":[0.0000207133,0.00008129111,0.02394073,0.01105445,0.0001603609,0.0009764297,0.1108628,0.0005965076,0.0009046493,0.1902637,0.6609161,0.0002222317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01481668,0.4343021,0.003817439,0.4746275,0.04168433,0.0001298709,0.0005046739,0.0000735228,0.03004388],"genre_scores_gemma":[0.1614062,0.7325268,0.009528763,0.03739261,0.04705099,0.0003442603,0.0006293675,0.0001811678,0.01093994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01667887,"threshold_uncertainty_score":0.06744969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2680065679475974,"score_gpt":0.3389323796748593,"score_spread":0.07092581172726192,"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."}}