{"id":"W4391475083","doi":"10.1080/02255189.2023.2291028","title":"Effet de l’inclusion financière sur la croissance économique en Afrique subsaharienne : une analyse comparative suivant certains facteurs socioculturels","year":2024,"lang":"fr","type":"article","venue":"Canadian Journal of Development Studies/Revue canadienne d études du développement","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.001925885,0.0002171664,0.0003268687,0.0009605322,0.0007366303,0.001236651,0.0002839917,0.0003859729,0.002785597],"category_scores_gemma":[0.005095999,0.00008960326,0.0004554713,0.001268444,0.0008467682,0.0005190721,0.001255476,0.0003917564,0.0001729102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002451651,"about_ca_system_score_gemma":0.001904996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1400222,"about_ca_topic_score_gemma":0.1687,"domain_scores_codex":[0.9986721,0.00064933,0.00006376985,0.000112294,0.000217216,0.0002852058],"domain_scores_gemma":[0.9947957,0.002097617,0.001735649,0.0001668863,0.0006028814,0.0006011885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009032094,0.0002091384,0.9500795,0.0001594179,0.0003233597,0.0002919454,0.007688747,0.0006249321,0.001578288,0.003208064,0.0002658294,0.03466757],"study_design_scores_gemma":[0.0000130909,0.0002125393,0.9929687,0.00005699208,0.0001045921,0.00004516634,0.003708144,0.0002711221,0.0003822706,0.0002372318,0.001994058,0.000005993383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967806,0.0004007631,0.00008385019,0.0002248182,0.00000402767,0.000007640463,0.00008900926,0.000001235779,0.002408028],"genre_scores_gemma":[0.998502,0.0002617094,0.0001190146,0.00003094477,0.000006876553,0.00001290391,0.00007252965,0.000001228886,0.00099279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400222,"threshold_uncertainty_score":0.2784142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746984914081397,"score_gpt":0.256184911924243,"score_spread":0.198715062783429,"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."}}