{"id":"W4293742233","doi":"10.18559/rielf.2022.1.12","title":"Impact des transferts de fonds des migrants sur les dépenses de santé des ménages recipiendaires au Togo","year":2022,"lang":"fr","type":"article","venue":"Revue Internationale des Économistes de Langue Française","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep Edouard Montpetit; Université de Montréal; Francophone University Association","funders":"","keywords":"Welfare economics; Propensity score matching; Demographic economics; Geography; Political science; Socioeconomics; Economics; Medicine","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":[0.003673249,0.0003345808,0.0004492446,0.0007583498,0.00211906,0.001798609,0.0004855773,0.0008834401,0.01037736],"category_scores_gemma":[0.01435271,0.0001902117,0.0006680758,0.000835579,0.001539126,0.001059608,0.00247601,0.001181742,0.0004837794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002692101,"about_ca_system_score_gemma":0.005385913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03524885,"about_ca_topic_score_gemma":0.05794542,"domain_scores_codex":[0.9972573,0.001715312,0.00009893652,0.0001493908,0.0002956263,0.0004835142],"domain_scores_gemma":[0.9918625,0.003955189,0.001872869,0.0002740629,0.0007970207,0.001238247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001079837,0.0007517712,0.671142,0.002025235,0.0004691869,0.001516003,0.1314119,0.000743626,0.001227659,0.006386741,0.00345179,0.1797943],"study_design_scores_gemma":[0.00008175548,0.001021335,0.8107426,0.001902264,0.0003005103,0.0003994776,0.1573577,0.000265459,0.0005155661,0.001783299,0.02557816,0.00005175556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865218,0.002059696,0.0003605563,0.00337503,0.00007059044,0.00005711623,0.0002092889,0.00001010315,0.007335871],"genre_scores_gemma":[0.993468,0.001621778,0.0006319188,0.0004529288,0.00003130041,0.000109225,0.00007305231,0.000006406506,0.0036054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03524885,"threshold_uncertainty_score":0.07008737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103269622915211,"score_gpt":0.3985650916178739,"score_spread":0.2882381293263528,"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."}}