{"id":"W2604420503","doi":"10.5430/ijfr.v8n2p163","title":"Financial Development and Life Insurance Demand in Sub-Sahara Africa","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cape verde; Life insurance; Developing country; Economics; Estimation; Development economics; Economic growth; Business; Geography; Finance; Actuarial 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003639262,0.0001450146,0.000417565,0.0008437955,0.0003756406,0.0003341319,0.001144593,0.0001317442,0.00002752747],"category_scores_gemma":[0.005032067,0.0001581782,0.00009237131,0.0001648106,0.0002090281,0.0007012712,0.0003261984,0.0006157607,0.0001360383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002416558,"about_ca_system_score_gemma":0.0004068013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414513,"about_ca_topic_score_gemma":0.0001853034,"domain_scores_codex":[0.9978241,0.00003588988,0.001020772,0.0002949989,0.0003807122,0.0004435096],"domain_scores_gemma":[0.9983487,0.00009126374,0.0006990678,0.0002503879,0.0004941912,0.0001164297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008155465,0.0004219552,0.529907,0.00004958126,0.00006265193,0.0007892146,0.00225386,0.00004982745,0.00009232759,0.2064602,0.007399038,0.2516988],"study_design_scores_gemma":[0.001110655,0.00008194811,0.8224674,0.000116859,8.366181e-7,0.000007241563,0.000009532697,0.00003202766,0.0002280311,0.01774695,0.1580538,0.0001446189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846407,0.003678544,0.0006717152,0.001468611,0.001304294,0.0001638246,0.00003922021,0.000003945248,0.008029204],"genre_scores_gemma":[0.995703,0.002702343,0.0004890931,0.0001159017,0.0006246777,0.00001699093,0.000001578626,0.0000142661,0.000332078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2925605,"threshold_uncertainty_score":0.645032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008051475957575,"score_gpt":0.3305354264732022,"score_spread":0.2297302788774446,"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."}}