{"id":"W2413258102","doi":"10.5539/ijef.v8n6p291","title":"Financial Sector Innovation and Economic Growth in the Context of Botswana","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Development","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Financial sector development; Private sector; Distributed lag; Economics; Inflation (cosmology); Financial services; Business cycle; Interest rate; Economic sector; Business; Finance; Work (physics); Distribution (mathematics); Point (geometry); Financial sector; Economic growth; Macroeconomics; Economy","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":[0.0005266618,0.0002251822,0.0002108658,0.001621368,0.000479948,0.001490937,0.0001865853,0.0003384194,0.001240039],"category_scores_gemma":[0.002130863,0.00009560626,0.0002401901,0.003185074,0.0004603223,0.0007995155,0.0008124599,0.0007074302,0.0001135938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002019504,"about_ca_system_score_gemma":0.001765935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04852163,"about_ca_topic_score_gemma":0.067964,"domain_scores_codex":[0.9997463,0.00004614654,0.00001606569,0.0000304338,0.00003265272,0.0001284429],"domain_scores_gemma":[0.9985562,0.0004596355,0.0005927038,0.0000344532,0.0001752216,0.0001817702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007062802,0.00008674843,0.9788493,0.00006665914,0.00006191649,0.00147264,0.001028231,0.002300288,0.0005640198,0.003162987,0.0004749894,0.01186159],"study_design_scores_gemma":[0.000008325565,0.00005407408,0.9854365,0.0001157783,0.00004976908,0.0002315523,0.004427799,0.004351628,0.000347893,0.001061213,0.003904276,0.00001125768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996658,0.0005633913,0.0001072943,0.0005732709,0.00001017136,0.000005428507,0.0001937762,0.000002538018,0.00188613],"genre_scores_gemma":[0.9988905,0.0004318454,0.0000614046,0.00003092152,0.000005679822,0.000004514207,0.0001630355,9.477102e-7,0.0004112152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04852163,"threshold_uncertainty_score":0.0964784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229402007774179,"score_gpt":0.2049093645123847,"score_spread":0.1926153444346429,"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."}}