{"id":"W4306964314","doi":"10.18280/ijsdp.170622","title":"Assessing the Multidimensional Vulnerability of Lagging Regions: A Case Study of New Valley Governorate Egypt","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lagging; Vulnerability (computing); Adaptability; Delphi method; Vulnerability assessment; Environmental resource management; Analytic hierarchy process; Adaptive capacity; Environmental planning; Vulnerability index; Composite index; Work (physics); Business; Psychological resilience; Geography; Computer science; Climate change; Engineering; Composite indicator; Economics; Operations research; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001316708,0.0004471285,0.0003206334,0.001674349,0.003580747,0.001894654,0.0009765537,0.001278995,0.001963313],"category_scores_gemma":[0.001925277,0.0002499424,0.0004178767,0.002265151,0.00186214,0.001157279,0.002055493,0.0007681022,0.000122349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005080587,"about_ca_system_score_gemma":0.002705956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09937227,"about_ca_topic_score_gemma":0.1912819,"domain_scores_codex":[0.9991394,0.0004011952,0.00003799596,0.00006524107,0.0001096109,0.0002465367],"domain_scores_gemma":[0.999019,0.0003979183,0.0001687685,0.00007054232,0.0001825342,0.0001612305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005387238,0.001655662,0.5061111,0.0007203826,0.0002875162,0.1494467,0.2306358,0.0208411,0.006243018,0.01123926,0.003157767,0.06912296],"study_design_scores_gemma":[0.00004376762,0.0005550458,0.2193777,0.0003151464,0.000156509,0.006441386,0.7384707,0.01226328,0.002011374,0.002307087,0.01797071,0.00008739531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975882,0.00007075765,0.0003811209,0.0001877784,0.000002474133,0.00004519063,0.00004243867,0.000003852503,0.001678235],"genre_scores_gemma":[0.9975753,0.0002289274,0.0007887586,0.00004306496,0.00000293025,0.00002604913,0.00004828206,0.000003671489,0.001282883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09937227,"threshold_uncertainty_score":0.1975877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06534397915541715,"score_gpt":0.3122724324246249,"score_spread":0.2469284532692078,"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."}}