{"id":"W3122787226","doi":"","title":"Remittances, Mobile Phones and Informality: Insights from Cameroon","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tyndale University","funders":"","keywords":"Remittance; Mobile phone; Context (archaeology); Value (mathematics); Meaning (existential); Phone; Business; Informal sector; Sociology; Economics; Economic growth; Psychology; Geography; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001084961,0.0004300753,0.0002675195,0.001440461,0.00409638,0.002557252,0.0004161026,0.000692001,0.006882875],"category_scores_gemma":[0.001654792,0.0002572697,0.0001461884,0.002585911,0.003646482,0.003001435,0.00215739,0.0009987644,0.000221955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004283259,"about_ca_system_score_gemma":0.001860162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07908116,"about_ca_topic_score_gemma":0.1285114,"domain_scores_codex":[0.9993073,0.0004001798,0.00001453015,0.00003174324,0.00003000467,0.0002162591],"domain_scores_gemma":[0.9984996,0.001073073,0.0002315635,0.00002478004,0.00008441069,0.0000866453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002283032,0.0001423272,0.06506886,0.0007774053,0.00002203191,0.01349203,0.7766063,0.000989798,0.001859093,0.09575997,0.002622281,0.04243169],"study_design_scores_gemma":[0.00001587503,0.00007469265,0.05915628,0.000786543,0.00001913245,0.0007284048,0.8926532,0.0007267923,0.0002923206,0.004842316,0.04067897,0.00002549317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96861,0.003015621,0.0006572547,0.002534645,0.00002053051,0.00004565133,0.00008935505,0.000002989683,0.02502395],"genre_scores_gemma":[0.9965045,0.001551773,0.0001417605,0.0001483445,0.000006153572,0.00001394133,0.00002404321,0.000003155467,0.001606214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07908116,"threshold_uncertainty_score":0.1572418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003713444845474896,"score_gpt":0.1981087314657465,"score_spread":0.1943952866202716,"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."}}