{"id":"W2461739894","doi":"10.7202/1035954ar","title":"Inégalités des ménages face à la réception de transferts informels. Quelques leçons issues de Ouagadougou (Burkina Faso)","year":2016,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002756135,0.0003443865,0.0002558327,0.0009314895,0.003650991,0.002766789,0.0004920688,0.0009840075,0.01033828],"category_scores_gemma":[0.009678161,0.0002689099,0.0001683918,0.001146882,0.002011597,0.001885111,0.002622238,0.000965737,0.0008279036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002104953,"about_ca_system_score_gemma":0.002439423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05135586,"about_ca_topic_score_gemma":0.08872725,"domain_scores_codex":[0.9969385,0.001573808,0.00008969257,0.0002793621,0.0003072415,0.0008114947],"domain_scores_gemma":[0.9950671,0.001734116,0.001594284,0.0002145924,0.0007578366,0.000632074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002951483,0.0001113321,0.4649053,0.0002782706,0.00006611594,0.002071086,0.4586495,0.00017762,0.002085593,0.009418428,0.002678155,0.05926346],"study_design_scores_gemma":[0.00001044659,0.0001794101,0.4673258,0.0003732548,0.00005326632,0.0007625832,0.4773188,0.0001714752,0.0006272414,0.001883371,0.05125476,0.00003950339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855773,0.001099031,0.0004437718,0.002361973,0.00004289388,0.00002475049,0.0001544998,0.00000638957,0.01028946],"genre_scores_gemma":[0.9921269,0.0006112429,0.0002074028,0.0001797145,0.00002223036,0.00002120627,0.00003912531,0.000003839504,0.006788351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05135586,"threshold_uncertainty_score":0.1021139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093483451907255,"score_gpt":0.3287662912464953,"score_spread":0.3078314567274227,"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."}}