{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000887153,0.0001029365,0.0001435731,0.0001709809,0.0002883759,0.0001172042,0.0003168206,0.00007376498,0.001246697],"category_scores_gemma":[0.0003384535,0.0001038776,0.00009303288,0.0006790924,0.00004171999,0.0003341078,0.000009481282,0.0001051479,0.000447842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287603,"about_ca_system_score_gemma":0.00031808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08557072,"about_ca_topic_score_gemma":0.8815807,"domain_scores_codex":[0.9985738,0.0001488495,0.0003093173,0.0002180253,0.0005204009,0.0002295666],"domain_scores_gemma":[0.9992706,0.00006230536,0.00005834679,0.0001341041,0.0002955668,0.0001790554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002278276,0.00001578979,0.001076246,0.0001184918,0.00004168885,0.000009349526,0.004321946,0.0001071444,0.0001266631,0.9611702,0.01979407,0.01321611],"study_design_scores_gemma":[0.00007542135,0.000004239411,0.0008042747,0.0005109209,0.00001547432,8.879484e-7,0.0003116119,0.003751756,0.00001851408,0.004500064,0.9898613,0.0001455283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1641258,0.01597822,0.007168636,0.6372495,0.005968301,0.003040025,0.0005616762,0.001332825,0.1645751],"genre_scores_gemma":[0.7660538,0.1947692,0.000210469,0.01303185,0.0005361235,0.0001457061,0.0004517788,0.00002584981,0.02477521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9700672,"threshold_uncertainty_score":0.9996663,"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."}}