{"id":"W2953846277","doi":"10.22215/etd/2017-12121","title":"Three Essays on How Migrant Remittances Respond to Natural Disasters in their Home Countries","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Remittance; Natural disaster; Immigration; Demographic economics; Geography; Development economics; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009050308,0.0003509105,0.0004215958,0.0004009364,0.0008047743,0.0007238047,0.0006558342,0.0003547787,0.0001503326],"category_scores_gemma":[0.0006464571,0.0002944101,0.0001144342,0.000282164,0.0001603838,0.0004826999,0.00001491301,0.0003001876,0.00006915261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750516,"about_ca_system_score_gemma":0.0003136731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01179892,"about_ca_topic_score_gemma":0.9456244,"domain_scores_codex":[0.9976365,0.0001379888,0.0003017469,0.0005654119,0.0008818028,0.0004765311],"domain_scores_gemma":[0.9983886,0.0004136105,0.0003732634,0.0004229762,0.0002868664,0.0001146597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002426122,0.0001384848,0.00885409,0.0002505814,0.00008734104,0.00003187235,0.8645192,0.00001859306,0.0008731154,0.04329631,0.04434872,0.03515557],"study_design_scores_gemma":[0.001006021,0.0002641227,0.151347,0.001757584,0.00005897935,7.660538e-7,0.5329055,0.0001187159,0.001169175,0.008541336,0.3011317,0.001699094],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450637,0.0006605744,0.00001275721,0.007072665,0.003000251,0.001109534,0.0001410206,0.0001088023,0.04283074],"genre_scores_gemma":[0.918548,0.0008244038,0.0001241494,0.0003524786,0.0005650936,0.0001638562,0.001215078,0.00005116309,0.07815578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9338255,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07027366372609273,"score_gpt":0.3317466246712731,"score_spread":0.2614729609451804,"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."}}