{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008408159,0.0005472416,0.0007010063,0.000273823,0.0007483254,0.000333729,0.0009175932,0.001056049,0.005894678],"category_scores_gemma":[0.0002992928,0.0006532277,0.0004812714,0.0002839659,0.001077338,0.000285873,0.0002923811,0.001150306,0.0004938163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116027,"about_ca_system_score_gemma":0.002349027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004357971,"about_ca_topic_score_gemma":0.07046682,"domain_scores_codex":[0.9962456,0.0003877608,0.0008221218,0.001052853,0.000687888,0.0008037677],"domain_scores_gemma":[0.9973952,0.0002136891,0.0006926096,0.0009628432,0.0003155881,0.000420136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001278556,0.0002148788,0.8453227,0.00005600008,0.00005525665,0.00004815778,0.003585682,0.0001439093,0.00002145731,0.03442158,0.1151709,0.0009467347],"study_design_scores_gemma":[0.0006793531,0.00003271079,0.2037019,0.0002322327,0.0002219881,0.00001205558,0.001765518,0.0004998998,0.00002817158,0.001238886,0.7899281,0.001659117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7579437,0.0008680976,0.0001395712,0.0005245982,0.006390039,0.0008730979,0.0005710609,0.0004149709,0.2322748],"genre_scores_gemma":[0.901781,0.0008226858,0.002800328,0.0008866739,0.003141857,0.0004103623,0.0004578065,0.0001160068,0.08958332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6747572,"threshold_uncertainty_score":0.9995919,"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."}}