{"id":"W4318387440","doi":"10.2139/ssrn.4340566","title":"Emergent Network Patterns of Internal Displacement in Somalia Driven by Natural Disasters and Conflicts","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Natural disaster; Displacement (psychology); Natural (archaeology); Internal conflict; Internal migration; Internally displaced person; Forced migration; Geography; Economic geography; Political science; Economics; Law; Economic growth; Refugee; Psychology; Developing country","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":[0.0002058207,0.00007427685,0.0001392954,0.0008850768,0.0006064186,0.001052403,0.0003704824,0.0003494869,0.003015481],"category_scores_gemma":[0.00146917,0.0001194037,0.0001234369,0.001279797,0.000573747,0.0008059205,0.0006968467,0.0003025979,0.0002248421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102888,"about_ca_system_score_gemma":0.0003923147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01706577,"about_ca_topic_score_gemma":0.03447184,"domain_scores_codex":[0.9999059,0.00002078844,0.000005391656,0.00002395425,0.00001082377,0.00003305238],"domain_scores_gemma":[0.9994249,0.0002125398,0.0001553402,0.00003693145,0.00006995338,0.0001003154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002795194,0.0001167748,0.9301375,0.00007831309,0.0001001759,0.000925781,0.01286,0.01640683,0.003946232,0.01612893,0.003476656,0.01554327],"study_design_scores_gemma":[0.00001613516,0.00005945523,0.9219988,0.0000357768,0.00002992951,0.0002623115,0.02437195,0.04374301,0.0003089824,0.006027204,0.003125416,0.00002103189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981785,0.0000246346,0.0002708397,0.0001246184,0.000002537356,0.000004545971,0.0001560237,0.000006206657,0.001232126],"genre_scores_gemma":[0.9995128,0.00001750023,0.0001226809,0.00000735918,0.000001539,0.000003797003,0.00009511619,0.000001139605,0.0002381217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01706577,"threshold_uncertainty_score":0.03393286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009358184930422533,"score_gpt":0.3459522194076986,"score_spread":0.3365940344772761,"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."}}