{"id":"W4407452090","doi":"10.5430/afr.v14n1p15","title":"Evaluating the Impact of Remittances on Household Financial Behavior","year":2025,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Finance; Economics; Labour economics; Demographic economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004530907,0.00005847968,0.0001029724,0.0001069245,0.001007569,0.0001060348,0.0002446056,0.00007441353,0.00001192021],"category_scores_gemma":[0.001924934,0.00003980332,0.00004610463,0.0008686649,0.0004017449,0.00009938923,0.00004863827,0.0003138168,0.000002085782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007072707,"about_ca_system_score_gemma":0.0005873286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003811871,"about_ca_topic_score_gemma":0.001716703,"domain_scores_codex":[0.9986612,0.000239322,0.0001562829,0.0001677153,0.0004752839,0.0003001834],"domain_scores_gemma":[0.9989102,0.0005644727,0.00006442843,0.0001706895,0.0002754051,0.00001481685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000152582,0.0002137512,0.259955,0.00003788346,0.00001795406,0.000003307662,0.01499035,0.001132391,0.001403991,0.3265955,0.008942841,0.3865544],"study_design_scores_gemma":[0.0005612242,0.0004451623,0.9602499,0.0003935866,0.00001751064,5.232717e-7,0.004773742,0.0088588,0.0002127005,0.009697313,0.01456978,0.0002197396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899182,0.0003848876,0.00001031876,0.0006394525,0.00007285533,0.000227699,0.000007584475,0.00001385581,0.00872519],"genre_scores_gemma":[0.9964544,0.0009555885,0.00006950752,0.00003990819,0.00008952898,0.00003310578,8.339828e-7,0.000003754448,0.002353411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7002949,"threshold_uncertainty_score":0.7749509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490463682391757,"score_gpt":0.5139442873943483,"score_spread":0.3648979191551726,"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."}}