{"id":"W4221102997","doi":"10.19088/basic.2022.002","title":"Climate Resilience and Social Assistance in Fragile and Conflict-Affected Settings","year":2022,"lang":"en","type":"report","venue":"","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; Innovation Cluster (Canada)","funders":"Foreign, Commonwealth and Development Office; University of Sussex; Government of the United Kingdom","keywords":"Vulnerability (computing); Psychological resilience; Climate resilience; Resilience (materials science); Climate change; Environmental resource management; Political science; Public economics; Development economics; Economics; Psychology; Social psychology; Ecology; Computer security; Computer science","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":[0.003388767,0.0005341532,0.0004674771,0.003031041,0.004257214,0.004522954,0.001044863,0.002095455,0.009274513],"category_scores_gemma":[0.008204131,0.0002173212,0.000650587,0.003720063,0.007079455,0.005825569,0.007445549,0.002447528,0.0003841584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004667207,"about_ca_system_score_gemma":0.005018632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033629,"about_ca_topic_score_gemma":0.01395693,"domain_scores_codex":[0.9968587,0.001854771,0.0001216557,0.0002438546,0.0002388071,0.0006821068],"domain_scores_gemma":[0.9942086,0.003523924,0.001186671,0.0001569316,0.0003965064,0.0005272746],"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":[0.0001411112,0.0003648836,0.0496712,0.00879655,0.0003444637,0.002568929,0.1126333,0.003768966,0.0005057905,0.5729181,0.02047182,0.2278149],"study_design_scores_gemma":[0.000036457,0.0002700036,0.1402906,0.02994767,0.0002262222,0.002490103,0.2661721,0.001595402,0.0005361003,0.2244292,0.3337842,0.0002219802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4159364,0.1896551,0.01084016,0.1980858,0.002134606,0.0002898056,0.001209055,0.0000898724,0.1817592],"genre_scores_gemma":[0.9379316,0.05386406,0.001815454,0.003746289,0.0004873663,0.0001727263,0.0001317858,0.00001207864,0.001838623],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01033629,"threshold_uncertainty_score":0.03386313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728829939479592,"score_gpt":0.250084061648123,"score_spread":0.232795762253327,"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."}}