{"id":"W619956001","doi":"","title":"Overseas Filipinos' remittance behavior","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remittance; Emigration; Geography; Demographic economics; Political science; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004477608,0.0001697547,0.0001207005,0.0007109826,0.0005638666,0.000634513,0.0001944998,0.0002751687,0.003148394],"category_scores_gemma":[0.001920648,0.00005983786,0.0001541971,0.0005714788,0.000150515,0.0003742777,0.0003054514,0.0002677117,0.0008267208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003412955,"about_ca_system_score_gemma":0.0001678119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02440109,"about_ca_topic_score_gemma":0.03655278,"domain_scores_codex":[0.9998622,0.00004090801,0.0000100633,0.00002444141,0.00002272806,0.00003970499],"domain_scores_gemma":[0.9993291,0.0001572736,0.0003064722,0.00004882282,0.00007305559,0.00008531881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007934009,0.0001354511,0.9804121,0.00001401108,0.00002132971,0.0001999418,0.004317117,0.000261401,0.000384255,0.0001727177,0.0005616031,0.01344072],"study_design_scores_gemma":[0.000001297033,0.00005149254,0.994991,0.0000115312,0.000008884873,0.00009060169,0.003463633,0.000444263,0.000107816,0.00002784256,0.0007960526,0.000005660456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988368,0.00002174627,0.00001413643,0.00002961427,8.433771e-7,0.000002903011,0.0001290202,0.000001775293,0.0009631742],"genre_scores_gemma":[0.9969717,0.00008934102,0.00003609762,0.00001359363,0.000002333169,0.000006325516,0.0002147573,0.00000108967,0.002664666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02440109,"threshold_uncertainty_score":0.04851812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706246007891556,"score_gpt":0.2836031747826246,"score_spread":0.2665407147037091,"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."}}