{"id":"W2326424827","doi":"10.3386/w22108","title":"Refugees From Dust and Shrinking Land: Tracking the Dust Bowl Migrants","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council; University of British Columbia","funders":"","keywords":"Geography; Demographic economics; Census; Immigration; Demography; Population; Economics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00660352,0.0001317946,0.0002793536,0.0003102256,0.0007799115,0.0002468225,0.0005251134,0.0003614797,0.00107275],"category_scores_gemma":[0.002411816,0.00009864783,0.00007582321,0.000151728,0.0005552385,0.0002259797,0.0001006989,0.0005229134,0.00007279049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007467518,"about_ca_system_score_gemma":0.002661442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876983,"about_ca_topic_score_gemma":0.009703971,"domain_scores_codex":[0.9968182,0.0003657152,0.0004230815,0.000376306,0.001666408,0.0003503188],"domain_scores_gemma":[0.996101,0.00224467,0.0002754365,0.0001699441,0.001108368,0.0001006286],"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":[0.0001146033,0.0001164858,0.2639741,0.0001348806,0.0007327665,0.00002245385,0.009988854,0.00004838256,0.0002032163,0.3519016,0.3434447,0.02931798],"study_design_scores_gemma":[0.0004585968,0.00002578115,0.03348402,0.0005185676,0.00002571501,0.000005924595,0.00124504,0.00006328485,0.0000626512,0.1038742,0.8599324,0.0003038342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04060793,0.002058209,0.000006136618,0.005023629,0.0006946502,0.0004521967,0.0002484755,0.00003428153,0.9508745],"genre_scores_gemma":[0.9734438,0.00213546,0.0000276268,0.00004595823,0.002486902,0.00002190497,0.0001724588,0.00002540979,0.0216405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9328359,"threshold_uncertainty_score":0.9998404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.368029067198122,"score_gpt":0.5248152728967578,"score_spread":0.1567862056986358,"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."}}