{"id":"W4381167541","doi":"10.1177/01979183231181564","title":"Remittance Modality: Unpacking Canadian Money Transfer Mechanism Choices","year":2023,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Remittance; Unpacking; Context (archaeology); Informal sector; Business; Developing country; Cash; Population; Economics; Economic growth; Finance; Sociology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002787021,0.0003941489,0.0003360853,0.004288493,0.0017803,0.001941317,0.0009562009,0.000469348,0.003236517],"category_scores_gemma":[0.004577072,0.0001457684,0.000413874,0.00774933,0.001817481,0.001098365,0.001023917,0.0005932426,0.0001424286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01716202,"about_ca_system_score_gemma":0.02832705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9114193,"about_ca_topic_score_gemma":0.9579275,"domain_scores_codex":[0.998533,0.0004057132,0.00006378305,0.0001200655,0.0005257658,0.0003515858],"domain_scores_gemma":[0.9979486,0.0006433461,0.0003474089,0.00006733679,0.0008193831,0.0001738998],"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":[0.0003394149,0.00008174744,0.1162569,0.004821172,0.000251717,0.0003400347,0.01784023,0.002003421,0.0008758999,0.1315762,0.01504104,0.7105722],"study_design_scores_gemma":[0.00005596922,0.0001359515,0.555643,0.008026734,0.0005070679,0.0004303666,0.03025059,0.001916951,0.0008949005,0.009840475,0.3921563,0.0001416865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4401434,0.351456,0.003355913,0.01546817,0.0003417458,0.000206101,0.001679634,0.00003284389,0.1873163],"genre_scores_gemma":[0.8188645,0.1677178,0.002376071,0.000617378,0.00009482031,0.00004690719,0.0004642829,0.00001231346,0.009806063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08858073,"threshold_uncertainty_score":0.1782048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382875377771911,"score_gpt":0.3379821248273047,"score_spread":0.3041533710495856,"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."}}