{"id":"W2913955158","doi":"10.5430/ijfr.v10n2p16","title":"Insurance Development and Economic Growth: An Examination of the Non-Bank Financial Institutions in Nigeria","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Regression analysis; Financial sector; Investment (military); Business; Central bank; Economics; Financial system; Finance; Actuarial science; Monetary economics; Monetary policy","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":[0.0004512891,0.0001586379,0.0001626404,0.001083639,0.000342115,0.0009476547,0.0001304973,0.0002161132,0.001557765],"category_scores_gemma":[0.001214466,0.0001201068,0.0001997116,0.001397472,0.0003278993,0.0007251823,0.0005961521,0.0004879055,0.0001439606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006091987,"about_ca_system_score_gemma":0.0008879835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117129,"about_ca_topic_score_gemma":0.02514279,"domain_scores_codex":[0.999822,0.00004041722,0.00002017109,0.00002138416,0.00003192923,0.0000641909],"domain_scores_gemma":[0.9984169,0.0004619186,0.0007277084,0.00002787477,0.0001387566,0.0002268773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003405166,0.00005289777,0.9937041,0.00002955197,0.00001470847,0.000339566,0.0005415922,0.0001780673,0.0001771748,0.00051367,0.00008921685,0.004325414],"study_design_scores_gemma":[0.000001358715,0.00002919018,0.9966762,0.00003794706,0.0000115899,0.000130735,0.00182372,0.0004191883,0.000107945,0.0001201376,0.0006396996,0.000002323216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976106,0.0005638345,0.00003966275,0.0001532843,0.000004215469,0.000004595313,0.00009815651,7.294811e-7,0.001524931],"genre_scores_gemma":[0.9989606,0.000670955,0.00003148027,0.00001101466,0.000004864379,0.000001809284,0.00008708252,4.147319e-7,0.000231713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0117129,"threshold_uncertainty_score":0.02328944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05451928921954354,"score_gpt":0.3100101374534672,"score_spread":0.2554908482339237,"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."}}