{"id":"W4240836015","doi":"10.3763/cpol.2003.0330","title":"Climate change and extreme weather events: can developing countries adapt?","year":2003,"lang":"en","type":"article","venue":"Climate Policy","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":535,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of Toronto","funders":"","keywords":"Extreme weather; Climate change; Developing country; Vulnerability (computing); Adaptive capacity; Business; Climate Finance; Environmental resource management; Adaptation (eye); Natural resource economics; Investment (military); Small Island Developing States; Debt; Environmental planning; Finance; Economics; Economic growth; Geography; Political 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":[0.001677507,0.0003217284,0.0004771474,0.000877802,0.0009129511,0.003925262,0.0005069526,0.001946764,0.007279471],"category_scores_gemma":[0.006757124,0.0001228498,0.0003488662,0.002709866,0.001830983,0.005600391,0.001780393,0.001545492,0.0006877427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460023,"about_ca_system_score_gemma":0.0022464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01746201,"about_ca_topic_score_gemma":0.01774748,"domain_scores_codex":[0.9992785,0.0003191287,0.00002401781,0.00005131727,0.00007715751,0.0002497849],"domain_scores_gemma":[0.9982957,0.0005448063,0.000325177,0.00008937797,0.0002908337,0.0004541049],"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":[0.0004266352,0.0003266094,0.1993826,0.001650241,0.000276844,0.002273333,0.01435862,0.006323298,0.0006070287,0.1860909,0.1436579,0.444626],"study_design_scores_gemma":[0.00006888893,0.0001488742,0.4049336,0.002007975,0.0001630248,0.001033145,0.08348873,0.002466385,0.0004043068,0.19184,0.3132818,0.0001633177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1574744,0.06872206,0.001917238,0.5939664,0.001750019,0.00008144131,0.001670635,0.00007145821,0.1743464],"genre_scores_gemma":[0.9019983,0.0725669,0.0005350932,0.017046,0.001042608,0.00005219449,0.0004288763,0.00001749494,0.006312595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01746201,"threshold_uncertainty_score":0.03472078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08013018273262862,"score_gpt":0.3290789324160663,"score_spread":0.2489487496834377,"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."}}