{"id":"W3124329310","doi":"","title":"Migration Responses to Conflict: Evidence from the Border of the American Civil War","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Spanish Civil War; Relocation; Download; Destinations; State (computer science); Soviet union; Political science; Developing country; Demographic economics; World War II; Development economics; Political economy; Economic growth; Law; Sociology; Economics; Politics","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":[0.001417079,0.0002000234,0.0003538648,0.001074817,0.002383313,0.002118696,0.0008789309,0.0007387319,0.005802417],"category_scores_gemma":[0.008885819,0.0002621006,0.0002254127,0.002205829,0.001173716,0.001226482,0.002541216,0.0009378617,0.0005929958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007380698,"about_ca_system_score_gemma":0.0007039151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0940287,"about_ca_topic_score_gemma":0.1490216,"domain_scores_codex":[0.9989454,0.0005006698,0.00005054101,0.0001831207,0.00008365897,0.0002366058],"domain_scores_gemma":[0.9946332,0.001561122,0.002139208,0.0004435477,0.0004771838,0.0007456668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002405289,0.00008629658,0.9801037,0.00003133148,0.00007798374,0.0001743941,0.01106886,0.00008687228,0.00007936394,0.0005915591,0.001950167,0.005508973],"study_design_scores_gemma":[0.00001381421,0.00004997789,0.9598333,0.0001019181,0.00002404629,0.00008213874,0.03618134,0.0001202627,0.00004164089,0.000268203,0.003273556,0.000009771184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969684,0.0004893087,0.00003999838,0.0003735692,0.00001379588,0.000003392348,0.0005029978,9.799936e-7,0.00160758],"genre_scores_gemma":[0.998135,0.0004663017,0.00004577445,0.0001179492,0.00001496432,0.00001006381,0.0006737438,0.000003753398,0.0005324926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0940287,"threshold_uncertainty_score":0.1869628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935790025936936,"score_gpt":0.3096965270640643,"score_spread":0.2903386268046949,"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."}}